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  Subjects -> ELECTRONICS (Total: 159 journals)
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 2)
Advances in Electronics     Open Access   (Followers: 4)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 6)
Advances in Microelectronic Engineering     Open Access   (Followers: 6)
Advances in Power Electronics     Open Access   (Followers: 10)
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 106)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 15)
Annals of Telecommunications     Hybrid Journal   (Followers: 5)
APL : Organic Electronics and Photonics     Hybrid Journal   (Followers: 2)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 6)
Archives of Electrical Engineering     Open Access   (Followers: 11)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 5)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 12)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 18)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 16)
Biomedical Instrumentation & Technology     Hybrid Journal   (Followers: 6)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 5)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (Followers: 2)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access  
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 15)
China Communications     Full-text available via subscription   (Followers: 4)
Circuits and Systems     Open Access   (Followers: 11)
Consumer Electronics Times     Open Access   (Followers: 5)
Control Systems     Hybrid Journal   (Followers: 36)
Edu Elektrika Journal     Open Access  
Electronic Design     Partially Free   (Followers: 23)
Electronic Markets     Hybrid Journal   (Followers: 5)
Electronic Materials Letters     Hybrid Journal   (Followers: 3)
Electronics     Open Access   (Followers: 10)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 5)
Electronics Letters     Hybrid Journal   (Followers: 20)
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 25)
Energy Harvesting and Systems : Materials, Mechanisms, Circuits and Storage     Hybrid Journal   (Followers: 3)
EPJ Quantum Technology     Open Access  
EURASIP Journal on Embedded Systems     Open Access   (Followers: 10)
Facta Universitatis, Series : Electronics and Energetics     Open Access  
Frequenz     Hybrid Journal   (Followers: 3)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 2)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 20)
Giroskopiya i Navigatsiya     Open Access  
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 3)
IEEE Antennas and Propagation Magazine     Hybrid Journal   (Followers: 24)
IEEE Antennas and Wireless Propagation Letters     Hybrid Journal   (Followers: 18)
IEEE Consumer Electronics Magazine     Full-text available via subscription   (Followers: 21)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 17)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 5)
IEEE Power Electronics Magazine     Full-text available via subscription   (Followers: 16)
IEEE Transactions on Antennas and Propagation     Full-text available via subscription   (Followers: 19)
IEEE Transactions on Audio, Speech, and Language Processing     Hybrid Journal   (Followers: 15)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 35)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 19)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 10)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 14)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 30)
IEEE Transactions on Signal and Information Processing over Networks     Full-text available via subscription   (Followers: 1)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 8)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 8)
IET Microwaves, Antennas & Propagation     Hybrid Journal   (Followers: 6)
IET Power Electronics     Hybrid Journal   (Followers: 16)
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 10)
IETE Journal of Education     Open Access   (Followers: 2)
IETE Journal of Research     Open Access   (Followers: 11)
IETE Technical Review     Open Access   (Followers: 4)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 17)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 4)
Informatik-Spektrum     Hybrid Journal  
Instabilities in Silicon Devices     Full-text available via subscription  
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 4)
International Journal of Advanced Electronics and Communication Systems     Open Access   (Followers: 5)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 22)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 3)
International Journal of Aerospace Innovations     Full-text available via subscription   (Followers: 13)
International Journal of Antennas and Propagation     Open Access   (Followers: 7)
International Journal of Applied Electronics in Physics & Robotics     Open Access   (Followers: 1)
International Journal of Biomedical Nanoscience and Nanotechnology     Hybrid Journal   (Followers: 5)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 4)
International Journal of Computer & Electronics Research     Full-text available via subscription   (Followers: 1)
International Journal of Control     Hybrid Journal   (Followers: 14)
International Journal of Electronics     Hybrid Journal   (Followers: 2)
International Journal of Electronics & Data Communication     Open Access   (Followers: 4)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 3)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 1)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Image, Graphics and Signal Processing     Open Access   (Followers: 2)
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 1)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 5)
International Journal of Nanoscience     Hybrid Journal  
International Journal of Numerical Modelling:Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 2)
International Journal of Power Electronics     Hybrid Journal   (Followers: 9)
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 3)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 4)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 2)
International Journal of Wireless and Microwave Technologies     Open Access   (Followers: 1)
International Journal on Communication     Full-text available via subscription   (Followers: 13)
International Journal on Electrical and Power Engineering     Full-text available via subscription   (Followers: 10)
International Transaction of Electrical and Computer Engineers System     Open Access  
Journal of Biosensors & Bioelectronics     Open Access   (Followers: 2)
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 5)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 2)

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Journal Cover International Journal of Computational Vision and Robotics
  [SJR: 0.176]   [H-I: 2]   [4 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 1752-9131 - ISSN (Online) 1752-914X
   Published by Inderscience Publishers Homepage  [405 journals]
  • Two approaches-based L2-SVMs reduced to MEB problems for dialect
    • Pages: 1 - 18
      Abstract: The recent progress in speech and vision has issued from the increased use of machine learning. Not only does the machine learning provides many useful tools, it also help us to understand existing algorithms and their connections in a new light. As a powerful tool in machine learning, support vector machine (SVM) leads to an expensive computational cost in the training phase due to the large number of original training samples, while minimal enclosing ball (MEB) presents limitations dealing with a large dataset. The training computation increases as data size becomes large, hence in this paper, we propose two improved approaches that handle this problem in huge dataset used in different domains. These approaches, based on L2-SVMs reduced to MEB problems result in a reduced data optimally matched to the input demands of different background of systems such as Universal Background Model architectures in language recognition and identification systems. We experiment on speech information based on acoustic shifted delta coefficient feature vectors applied in GMM-based dialect identification system where all data outer the ball defined by MEB are eliminated and the training time is reduced. Further numerical experiments on some real-world datasets show proof of the usefulness of our approaches in the field of data mining.
      Keywords: quadratic programming; support vector machines; SVM; minimal enclosing ball; MEB; core set; kernel methods; k-NN; k-nearest neighbour; fuzzy C-mean clustering; FCM; dialect identification; machine learning; speech information; acoustic shifted delta co
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 1 - 18
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073755
      Issue No: Vol. 6, No. 1/2 (2015)
  • Towards a distributed and parallel schema for active appearance model
    • Pages: 19 - 40
      Abstract: In this paper, we propose a distributed and parallel schema to implement the standard version of active appearance model segmentation approach proposed by Cootes. In the scheme distributed, we project to integrate the parallelism to implement the model operations. The parallel schema proposed is based on the data parallelism. The majority of operations of the model lend themselves well to the parallelism. We quote the alignment procedure and the calculation of intensity profiles. These two operations belong to the stage of modelling shape. The proposed schema is intended to exploit the benefits built in the area of parallel and distributed image processing. We theoretically demonstrate the feasibility of the parallel approach for the first model operations, in order to generalise this approach to other operations. This implementation is still being and is aiming to exploit the benefits of the recent software tools such as Java-RMI, and parallel programming.
      Keywords: active appearance model; segmentation; parallel image processing; distributed image processing; data parallelism; modelling
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 19 - 40
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073756
      Issue No: Vol. 6, No. 1/2 (2015)
  • Frame differencing-based segmentation for low bit rate video codec
           using H.264
    • Authors: S. Sowmyayani, P. Arockia Jansi Rani
      Pages: 41 - 53
      Abstract: In video sequence coding, a combination of temporal and spatial coding technique is used in order to remove the predictable or redundant image content and encode only the unpredictable information. The objective of video compression technique is to increase the coding efficiency and to increase the data rate savings. A segmentation-based compression method is proposed to achieve this goal. In this paper, static portions are identified using frame differencing method and segmented during the encoding process. This encoded information is passed to the synthesiser. In synthesis, information which is passed during segmentation process is added to reconstruct the video. This method is integrated with the conventional video codec H.264/AVC video codec. Experimental results substantially proved the data rate is reduced by as much as 25%.
      Keywords: digital video compression; H.264/AVC; MPEG-4 Part 10; VCEG; advanced video coding; AVC; frame differencing; segmentation; low bit rate; video codec; video sequence coding; video compression
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 41 - 53
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073757
      Issue No: Vol. 6, No. 1/2 (2015)
  • RVM-based human action classification through Gabor and Haar feature
    • Authors: S. Maheswari, P. Arockia Jansi Rani
      Pages: 54 - 64
      Abstract: Human action recognition plays a vital role in surveillance applications. Human action recognition is motivated by some of the applications such as video retrieval, video surveillance systems, human robot interaction, to interact with deaf and dumb people etc. The aim is to analyse the role of Adaboost in the process of recognising the human action by extracting the motion features using optical flow. Adaboost is a supervised learning method used to select the subset of frames with most discriminatory motion features. Saliency point computation is performed to assign a measure of interest to each visual unit. Mean shift algorithm is then used for tracking the objects. Gabor feature is the global feature that includes more detailed information of frequency and orientation. Haar feature is used to show the variation in the pixel. Relevance vector machine classification gives a probabilistic output through Bayesian inference. The proposed system reduces the computation time and provides a higher recognition rate in comparison with existing gentle boost-based recognition system.
      Keywords: optical flow; saliency map; mean shift localisation; Adaboost; RVM classification; relevance vector machine; human action recognition; feature extraction; motion features; supervised learning
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 54 - 64
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073758
      Issue No: Vol. 6, No. 1/2 (2015)
  • Using ROI with ISOM compression to medical image
    • Authors: Imen Chaabouni, Wiem Fourati, Med Salim Bouhlel
      Pages: 65 - 76
      Abstract: The availability of images in different applications are augmented owing to the technological advancement. Hence, image compression has proved to be a valuable technique as one solution. This paper gives the review of compression techniques. Based on this, we recommended some general guidelines to choose the best compression algorithm for a medical image. In this method, the ROI is encoded separately using ISOM with high priority and high resolution and the back ground (BG) region which has a lower priority is separately encoded with a low resolution version of the ISOM. Finally, the two regions are merged together to get the reconstructed image. Our results show that the proposed method gives very good image quality for diagnosis without any degradable loss. The performance of the compression technique is evaluated using the parameters (MSE, and PSNR) and achieved better result compared to other existing methods. As a result, we strongly believe that using our method we can overcome the limitations in storage and transmission of medical images that are produced day by day.
      Keywords: incremental self organising map; ISOM; JPEG; medical imaging; ultrasound images; ROI; region of interest; background; set partition in hierarchical tree; SPIHT; image compression; image quality; medical diagnosis
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 65 - 76
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073759
      Issue No: Vol. 6, No. 1/2 (2015)
  • Genetic algorithms-based dominant feature selection for face detection
    • Authors: Ameni Yangui Jammoussi, Sameh Fakhfakh Ghribi, Dorra Sellami Masmoudi
      Pages: 77 - 93
      Abstract: A key challenge in computer vision applications is detecting objects in an image which is a non-trivial problem. One of the better performing proposed algorithms falls within the Viola and Jones framework. They make use of Adaboost for training a cascade of classifiers. The challenges of Adaboost-based face detector include the selection of the most relevant features which are considered as weak classifiers. However, selection of features based on lowering classification error leads to high computation complexity. To overcome this limitation, a novel genetic Adaboost is proposed in our work. In the same context of optimisation, a selection method based on Pareto concept of the most relevant features referred to as dominant features is proposed. This optimisation allows to reduce the initial feature space by 28%. Moreover, we notice that dominant features with genetic Adaboost further improve the performance of genetic Adaboost, reducing the total number of features by 20%.
      Keywords: Adaboost; dominant features; face detection; genetic algorithms; dominant feature selection; face detection; computer vision; object detection
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 77 - 93
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073760
      Issue No: Vol. 6, No. 1/2 (2015)
  • Automatic number plate recognition system by character position method
    • Authors: Birmohan Singh, Manpreet Kaur, Dalwinder Singh, Gurwinder Singh
      Pages: 94 - 112
      Abstract: Automatic number plate recognition (ANPR) is an important image processing technology used to recognise number plates of vehicles. Plate localisation and character recognition are two stages of ANPR. In this paper, a methodology has been proposed to develop robust ANPR system. A new algorithm has been proposed for number plate localisation which is based on character positioning method. Character recognition is done with support vector machine in which feature vector is calculated by recursive sub-divisions of character image. The problem of similar shape characters has been solved by syntactic analysis of number plate format for a particular geographical region. The system has been tested on 419 sample images from various countries with various variations in viewing angles, illuminations and distances. Experimental results show that the proposed system detects number plates and recognise characters successfully. The overall success rate of plate localisation is 97.21% and recognition of number is 95.06%.
      Keywords: image segmentation; automatic number plate recognition; ANPR; number plate localisation; NPL; mathematical morphology; support vector machines; SVM; image processing; vehicle number plates; character recognition; character position
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 94 - 112
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073761
      Issue No: Vol. 6, No. 1/2 (2015)
  • Automatic continuous speech recogniser for Dravidian languages using the
           auto associative neural network
    • Authors: J. Sangeetha, S. Jothilakshmi
      Pages: 113 - 126
      Abstract: In recent times with the extensive improvement of computers, numerous methods of data interchange between man and computer are revealed. It aims to provide an efficient way for human to communicate with computers exclusively for people with disabilities who face diversity of obstacles while using computers. This paper predominantly focuses on developing an efficient speech recognition system for Dravidian languages such as Tamil, Malayalam, Telugu and Kannada. The proposed CSR system comprises of four steps namely pre-processing, feature extraction, automatic continuous speech segmentation and classification. The most powerful and widely used short term energy and zero crossing rate is used for continuous speech segmentation and Mel frequency cepstral coefficients (MFCC), linear predictive cepstral coefficients (LPCC) and shifted delta cepstrum (SDC) feature extractions are used for recognition system. Experiments are carried out with real time Dravidian languages speech signal. It is observed from the results that the proposed system gives significant results in AANN classifier with MFCC feature when compared with LPCC and SDC features.
      Keywords: auto associative neural networks; automatic speech recognition; ASR; Dravidian languages; continuous speech segmentation; Mel frequency cepstral coefficients; MFCC; Tamil; Malayalam; Telugu; Kannada; feature extraction; classification
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 113 - 126
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073762
      Issue No: Vol. 6, No. 1/2 (2015)
  • Multiobjective genetic algorithm-based adaptive wavelet design
    • Authors: Sameh Fakhfakh Ghribi, Ameni Yangui Jammoussi, Dorra Sellami Masmoudi
      Pages: 127 - 145
      Abstract: Wavelet performances differ from one application to another and from one database to another. In this case, one can try to find out for each application the appropriate wavelet transform which results in better performances and consumes minimal resources once implemented on an FPGA platform. Accordingly, we use a generic lifting wavelet transform with p<SUB align="right">0 and q parameters. Thus, we train the optimisation process with a multi-objective genetic algorithm for optimising wavelet transform with respect to specific applications. Optimised criteria are related to wavelet regularity and the undertaken application performances. We consider pattern recognition and image compression applications processed respectively on ORL database and a fingerprint database. Compared with DB 4 and DB 9/7, the improvement of the criterion related to the application reaches 17% for pattern recognition application and preserves, approximately, the same values for still image compression in addition to the minimisation of the hardware cost.
      Keywords: wavelet transform; lifting implementation; image coding; pattern recognition; non-dominated sorting genetic algorithms; NSGA-II; FPGA; field-programmable gate arrays; adaptive wavelet design; multi-objective optimisation; image compression
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 127 - 145
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073763
      Issue No: Vol. 6, No. 1/2 (2015)
  • Image denoising based on adaptive spatial segmentation and multi-scale
           correlation in directionlet domain
    • Authors: R. Sethunadh, Tessamma Thomas
      Pages: 146 - 167
      Abstract: Directionlet transform (DT) has become popular over the last few years as an efficient image representation tool due to its fine frequency tiling and directional vanishing moments along any two directions. A novel denoising algorithm based on DT is proposed here for images corrupted with Gaussian noise. The image is first spatially segmented based on the content directionality. Then an undecimated version of DT is applied to effectively capture the directional features and edge information of these segments. The DT coefficients so obtained are then modelled using a bivariate heavy tailed Gaussian distribution and the noise free coefficients are computed using MAP estimator. By employing bivariate probability distribution, the heavy-tail behaviour of natural images is accurately modelled and the interscale properties of DT coefficients are properly exploited. In addition, the local variance parameter of the model is estimated based on classification of DT coefficients within a particular scale using context modelling. Due to this the intrascale dependency of the directionlet coefficients is also well exploited in the enhancement process. The proposed algorithm is competitive with the existing algorithms with better results in terms of output peak signal-to-noise ratio while having comparable computational complexity. It exhibits good capability to preserve edges, contours and textures especially in images with abundant high frequency contents.
      Keywords: directionlet transform; image denoising; mutli-scale correlation; spatial segmentation; interscale dependency; Gaussian noise; modelling; image processing; peak SNR; PSNR; signal-to-noise ratio; image segmentation
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 146 - 167
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073764
      Issue No: Vol. 6, No. 1/2 (2015)
  • Shape descriptors-based generalised scheme for handwritten character
    • Authors: Tusar Kanti Mishra, Banshidhar Majhi, Ratnakar Dash
      Pages: 168 - 179
      Abstract: In this paper, we propose a novel scheme for recognition of handwritten numerals for a regional language Odia of the Indian continent. Additional attempts have also been made to implement this scheme for recognition of handwritten numerals of two other languages namely, Bangla and English. Thus, the proposed scheme has been generalised to three different languages. Three variants of time series description of global shapes of numerals have been wrapped up in a vector. This vector is treated as the primary features for the suggested scheme. Satisfactory overall accuracy rate of 96.25% is achieved for Odia numerals. Promising results are also obtained for recognising English and Bangla numerals.
      Keywords: optical character recognition; OCR; shape descriptors; Odia; feature extraction; character recognition; handwritten characters; handwritten numerals; Bangla; English
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 168 - 179
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073765
      Issue No: Vol. 6, No. 1/2 (2015)
  • Robust audio watermarking based on multi-carrier modulation
    • Authors: Mohammed Khalil, Abdellah Adib
      Pages: 180 - 194
      Abstract: The great challenge, in blind audio watermarking, is to recover the transparent embedded information with minimum errors even in presence of disturbances. Some signal disturbances like MPEG compression and filtering can be modelled as fading-like distortions. Besides the inaudibility constraint, the problem will be viewed as the conception of a particular communication system, where our purpose is to reduce host interference noise (HIN) and inter-symbol interference (ISI) on one hand and to deal with fading perturbations on the other hand. In this paper, we propose adapting multi-carrier (MC) modulation, widely used in wireless communications, to the watermarking context. Our main motivation is to exploit advantages of MC modulations in order to outperform spread spectrum (SS) audio watermarking schemes. The new MC-watermarking system allows us to improve detection reliability and to increase robustness of the embedded watermark. Moreover, the inaudibility constraint will be ensured by adapting the MC signal parameters to the masking characteristics of the human auditory system (HAS).
      Keywords: audio watermarking; multi-carrier modulation; fading; OFDM; orthogonal frequency division multiplexing; compression; guard interval; robustness; detection reliability; inaudibility; security
      Citation: International Journal of Computational Vision and Robotics, Vol. 6, No. 1/2 (2016) pp. 180 - 194
      PubDate: 2015-12-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2016.073766
      Issue No: Vol. 6, No. 1/2 (2015)
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