Efficient embedded context-based surveillance image and video analysis
暂无分享,去创建一个
[1] Ieee Xplore,et al. IEEE Transactions on Pattern Analysis and Machine Intelligence Information for Authors , 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] Paulo Mateus,et al. On the complexity of minimizing probabilistic and quantum automata , 2012, Inf. Comput..
[3] Mike McHenry,et al. Detecting water hazards for autonomous off-road navigation , 2003, SPIE Defense + Commercial Sensing.
[4] Josiane Zerubia,et al. Texture feature analysis using a gauss-Markov model in hyperspectral image classification , 2004, IEEE Transactions on Geoscience and Remote Sensing.
[5] D Marr,et al. Theory of edge detection , 1979, Proceedings of the Royal Society of London. Series B. Biological Sciences.
[6] John F. Canny,et al. A Computational Approach to Edge Detection , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[7] Patrick Haffner,et al. Support vector machines for histogram-based image classification , 1999, IEEE Trans. Neural Networks.
[8] D. Sagi,et al. Gabor filters as texture discriminator , 1989, Biological Cybernetics.
[9] Daphne Koller,et al. Support Vector Machine Active Learning with Applications to Text Classification , 2000, J. Mach. Learn. Res..
[10] Zhiyu Xiang,et al. Robust water hazard detection for autonomous off-road navigation , 2009 .
[11] Peter H. N. de With,et al. Flexible Multi-modal Graph-Based Segmentation , 2013, ACIVS.
[12] Lihi Zelnik-Manor,et al. Context-aware saliency detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[13] R. Manmatha,et al. IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops: Preface , 2003, CVPR 2003.
[14] Sabine Süsstrunk,et al. Salient Region Detection and Segmentation , 2008, ICVS.
[15] Joni-Kristian Kämäräinen,et al. Fundamental frequency Gabor filters for object recognition , 2002, Object recognition supported by user interaction for service robots.
[16] Svitlana Zinger,et al. Fast sky and road detection for video context analysis , 2012 .
[17] P. Nagabhushan,et al. A simple and robust line detection algorithm based on small eigenvalue analysis , 2004, Pattern Recognit. Lett..
[18] Jake K. Aggarwal,et al. Robust Vehicle Detection for Tracking in Highway Surveillance Videos Using Unsupervised Learning , 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.
[19] Hideyuki Tamura,et al. Textural Features Corresponding to Visual Perception , 1978, IEEE Transactions on Systems, Man, and Cybernetics.
[20] Adel M. Alimi,et al. Event Detection from Video Surveillance Data Based on Optical Flow Histogram and High-level Feature Extraction , 2009, 2009 20th International Workshop on Database and Expert Systems Application.
[21] Dragutin Petkovic,et al. Query by Image and Video Content: The QBIC System , 1995, Computer.
[22] Svitlana Zinger,et al. Moving ship detection based on context modeling and motion analysis , 2014 .
[23] Shih-Fu Chang,et al. Single color extraction and image query , 1995, Proceedings., International Conference on Image Processing.
[24] Zi-Quan Hong,et al. Algebraic feature extraction of image for recognition , 1991, Pattern Recognit..
[25] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[26] A. Broggi,et al. Lateral vehicles detection using monocular high resolution cameras on TerraMax™ , 2008, 2008 IEEE Intelligent Vehicles Symposium.
[27] Zhongde Wang. Fast algorithms for the discrete W transform and for the discrete Fourier transform , 1984 .
[28] Oswald Lanz,et al. Approximate Bayesian multibody tracking , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Jing Huang,et al. Image indexing using color correlograms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[30] P. Yip,et al. Discrete Cosine Transform: Algorithms, Advantages, Applications , 1990 .
[31] Vincent Charvillat,et al. Context modeling in computer vision: techniques, implications, and applications , 2010, Multimedia Tools and Applications.
[32] Rafael C. González,et al. Digital image processing using MATLAB , 2006 .
[33] Retantyo Wardoyo,et al. Time Complexity Analysis of Support Vector Machines (SVM) in LibSVM , 2015 .
[34] Rob G. J. Wijnhoven,et al. Online learning for ship detection in maritime surveillance , 2010 .
[35] S Ullman,et al. Shifts in selective visual attention: towards the underlying neural circuitry. , 1985, Human neurobiology.
[36] Lutz Priese,et al. Sky Detection in CSC-segmented Color Images , 2009, VISAPP.
[37] Iasonas Kokkinos,et al. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Svitlana Zinger,et al. Automatic generic Region-Of-Interest selection for video surveillance applications , 2014 .
[39] Peter H. N. de With,et al. Robust classification system with reliability prediction for semi-automatic traffic-sign inventory systems , 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV).
[40] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Peyman Milanfar,et al. Nonparametric bottom-up saliency detection by self-resemblance , 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[42] Andrew Zisserman,et al. Very Deep Convolutional Networks for Large-Scale Image Recognition , 2014, ICLR.
[43] Thomas Mauthner,et al. Semantic Image Classification using Consistent Regions and Individual Context , 2009, BMVC.
[44] R. Maini. Study and Comparison of Various Image Edge Detection Techniques , 2004 .
[45] Amanpreet Kaur. Comparison between YCbCr Color Space and CIELab Color Space for Skin Color Segmentation , 2012 .
[46] Qu Ying-Dong,et al. A fast subpixel edge detection method using Sobel-Zernike moments operator , 2005, Image Vis. Comput..
[47] Liang-Gee Chen,et al. Survey on Block Matching Motion Estimation Algorithms and Architectures with New Results , 2006, J. VLSI Signal Process..
[48] Yunsong Guo,et al. Comparisons of sequence labeling algorithms and extensions , 2007, ICML '07.
[49] Martin D. Levine,et al. Visual Saliency Based on Scale-Space Analysis in the Frequency Domain , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[50] .. K. Kanagalakshmi,et al. Frequency Domain Enhancement Algorithm Based on Log -Gabor Filter in FFT Domain , 2012 .
[51] S. Herman,et al. Locally-adaptive processing of television images based on real-time image segmentation , 2002, 2002 Digest of Technical Papers. International Conference on Consumer Electronics (IEEE Cat. No.02CH37300).
[52] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[53] Fons van der Sommen,et al. Real-time semantic context labeling for image understanding , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[54] Laurence Likforman-Sulem,et al. A Hough based algorithm for extracting text lines in handwritten documents , 1995, Proceedings of 3rd International Conference on Document Analysis and Recognition.
[55] Peter H. N. de With,et al. Fast semantic region analysis for surveillance & video databases , 2017, 2017 IEEE International Conference on Consumer Electronics (ICCE).
[56] Cheng Li,et al. Detection and Recognition of Road Markings in Panoramic Images , 2014, ACCV Workshops.
[57] Bo Chen,et al. MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications , 2017, ArXiv.
[58] Martin Jägersand,et al. Saliency Maps and Attention Selection in Scale and Spatial Coordinates: An Information Theoretic Approach , 1995, ICCV.
[59] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[60] Allam S. Hassanein,et al. A Survey on Hough Transform, Theory, Techniques and Applications , 2015, ArXiv.
[61] Hai-Yan Zhang,et al. Multiple moving objects detection and tracking based on optical flow in polar-log images , 2010, 2010 International Conference on Machine Learning and Cybernetics.
[62] Joachim Weickert,et al. Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods , 2005, International Journal of Computer Vision.
[63] A.H.R. Albers,et al. Modeling and control of image processing for interventional X-ray , 2007 .
[64] Gijs Dubbelman,et al. Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation , 2018, 2018 IEEE Intelligent Vehicles Symposium (IV).
[65] Serge J. Belongie,et al. Context based object categorization: A critical survey , 2010, Comput. Vis. Image Underst..
[66] Simon C. K. Shiu,et al. Monogenic Binary Coding: An Efficient Local Feature Extraction Approach to Face Recognition , 2012, IEEE Transactions on Information Forensics and Security.
[67] Esa Rahtu,et al. Segmenting Salient Objects from Images and Videos , 2010, ECCV.
[68] Mubarak Shah,et al. Visual attention detection in video sequences using spatiotemporal cues , 2006, MM '06.
[69] Jong-Nam Kim,et al. Multiple Ship Detection and Tracking Using Background Registration and Morphological Operations , 2010, FGIT-SIP/MulGraB.
[70] Pooja Kamavisdar,et al. A Survey on Image Classification Approaches and Techniques , 2013 .
[71] Guangming Xiong,et al. Road detection using support vector machine based on online learning and evaluation , 2010, 2010 IEEE Intelligent Vehicles Symposium.
[72] Ivo M. Creusen,et al. Automatic recognition system for surveying of traffic signs and road markings from street-level panoramic images , 2016 .
[73] S. Zinger,et al. Context-based region labeling for event detection in surveillance video , 2014, 2014 International Conference on Information Science, Electronics and Electrical Engineering.
[74] Yuan-Kai Wang,et al. A robust vehicle detection approach , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..
[75] Larry S. Davis,et al. Learning What and How of Contextual Models for Scene Labeling , 2010, ECCV.
[76] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[77] Richard O. Duda,et al. Use of the Hough transformation to detect lines and curves in pictures , 1972, CACM.
[78] Michael Brady,et al. Saliency, Scale and Image Description , 2001, International Journal of Computer Vision.
[79] Irfan A. Essa,et al. Expectation grammars: leveraging high-level expectations for activity recognition , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[80] Mingjing Li,et al. Color texture moments for content-based image retrieval , 2002, Proceedings. International Conference on Image Processing.
[81] Fuhui Long,et al. Fundamentals of Content-Based Image Retrieval , 2003 .
[82] Gabriel Cristóbal,et al. Self-Invertible 2D Log-Gabor Wavelets , 2007, International Journal of Computer Vision.
[83] Anton van den Hengel,et al. Wider or Deeper: Revisiting the ResNet Model for Visual Recognition , 2016, Pattern Recognit..
[84] Wei Wang,et al. Design and implementation of Log-Gabor filter in fingerprint image enhancement , 2008, Pattern Recognit. Lett..
[85] Peter H. N. de With,et al. Context-based object-of-interest detection for a generic traffic surveillance analysis system , 2014, 2014 11th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).
[86] Antonio Torralba,et al. LabelMe: A Database and Web-Based Tool for Image Annotation , 2008, International Journal of Computer Vision.
[87] Svitlana Zinger,et al. Adding context information to video analysis for surveillance applications , 2015 .
[88] Isabelle Bloch,et al. Using relative spatial relationships to improve individual region recognition , 2005 .
[89] Svitlana Zinger,et al. Context analysis : sky, water and motion , 2011 .
[90] Neil A. Thacker,et al. Tutorial: Computing 2D and 3D Optical Flow. , 2004 .
[91] Yali Amit,et al. Shape Quantization and Recognition with Randomized Trees , 1997, Neural Computation.
[92] D. Geman,et al. Randomized Inquiries About Shape: An Application to Handwritten Digit Recognition. , 1994 .
[93] Jörg Arndt. The Haar transform , 2011 .
[94] M. Strintzis,et al. COMPRESSED-DOMAIN OBJECT DETECTION FOR VIDEO UNDERSTANDING , 2004 .
[95] Mateus Beck Fonseca,et al. Design of pipelined butterflies from Radix-2 FFT with Decimation in Time algorithm using efficient adder compressors , 2011, 2011 IEEE Second Latin American Symposium on Circuits and Systems (LASCAS).
[96] Shi-Min Hu,et al. Global contrast based salient region detection , 2011, CVPR 2011.
[97] Larry Matthies,et al. Daytime water detection based on color variation , 2010, 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[98] Bahman Zafarifar. Adaptive modeling of sky for video processing and coding applications , 2006 .
[99] Alexei A. Efros,et al. An empirical study of context in object detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[100] Peter H. N. de With,et al. Fast Training of Object Detection Using Stochastic Gradient Descent , 2010, 2010 20th International Conference on Pattern Recognition.
[101] David Zhang,et al. Palmprint feature extraction using 2-D Gabor filters , 2003, Pattern Recognit..
[102] Thomas Brox,et al. U-Net: Convolutional Networks for Biomedical Image Segmentation , 2015, MICCAI.
[103] Ali Borji,et al. State-of-the-Art in Visual Attention Modeling , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[104] Rama Chellappa,et al. View Invariance for Human Action Recognition , 2005, International Journal of Computer Vision.
[105] Peter H. N. de With,et al. Ship detection in port surveillance based on context and motion saliency analysis , 2013, Electronic Imaging.
[106] Vittorio Murino,et al. Decentralized particle filter for joint individual-group tracking , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[107] Csaba Benedek,et al. Study on color space selection for detecting cast shadows in video surveillance , 2007, Int. J. Imaging Syst. Technol..
[108] Alexei A. Efros,et al. Recovering Surface Layout from an Image , 2007, International Journal of Computer Vision.
[109] Peter H. N. de With,et al. Context modeling combined with motion analysis for moving ship detection in port surveillance , 2013, J. Electronic Imaging.
[110] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[111] Peter H. N. de With,et al. Fast scene analysis for surveillance & video databases , 2017, IEEE Transactions on Consumer Electronics.
[112] Svitlana Zinger,et al. Fast abnormal event detection from video surveillance , 2012 .
[113] Jungho Im,et al. ISPRS Journal of Photogrammetry and Remote Sensing , 2022 .
[114] Anil K. Jain,et al. Image retrieval using color and shape , 1996, Pattern Recognit..
[115] Thomas B. Moeslund,et al. Real-time Multiple Abnormality Detection in Video Data , 2013, VISAPP.
[116] Claude L. Fennema,et al. Velocity determination in scenes containing several moving objects , 1979 .
[117] F. Bremond,et al. Crowd event recognition using HOG tracker , 2009, 2009 Twelfth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance.
[118] Md. Monirul Islam,et al. A geometric method to compute directionality features for texture images , 2008, 2008 IEEE International Conference on Multimedia and Expo.
[119] P. Varshney,et al. Multisource Classification Using Support Vector Machines: An Empirical Comparison with Decision Tree and Neural Network Classifiers , 2008 .
[120] Rgj Rob Wijnhoven,et al. Object categorization and detection and their application in surveillance , 2013 .
[121] Sos S. Agaian,et al. Transform Coefficient Histogram-Based Image Enhancement Algorithms Using Contrast Entropy , 2007, IEEE Transactions on Image Processing.
[122] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[123] P.H.N. de With,et al. Blue Sky Detection for Content-based Television Picture Quality Enhancement , 2007, 2007 Digest of Technical Papers International Conference on Consumer Electronics.
[124] Peter H. N. de With,et al. Water Region Detection Supporting Ship Identification in Port Surveillance , 2012, ACIVS.
[125] Antonio Criminisi,et al. TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and Context , 2007, International Journal of Computer Vision.
[126] Homayoun Mahdavi-Nasab,et al. Optical Flow Based Moving Object Detection and Tracking for Traffic Surveillance , 2013 .
[127] Forrest N. Iandola,et al. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <1MB model size , 2016, ArXiv.
[128] Antonio Torralba,et al. Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope , 2001, International Journal of Computer Vision.
[129] Yue Zhang,et al. A New Feature of Uniformity of Image Texture Directions Coinciding with the Human Eyes Perception , 2005, FSKD.
[130] Pushmeet Kohli,et al. Graph Cut Based Inference with Co-occurrence Statistics , 2010, ECCV.
[131] Bill Triggs,et al. Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[132] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[133] Yong Zhou,et al. A robust lane detection and tracking method based on computer vision , 2006 .
[134] Joost van de Weijer,et al. Fusing Global and Local Scale for Semantic Image Segmentation , 2011 .
[135] Giorgio Gambosi,et al. Complexity and approximation: combinatorial optimization problems and their approximability properties , 1999 .
[136] Henri Maître,et al. Entropy and multiscale analysis: a new feature extraction algorithm for aerial images , 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[137] D J Field,et al. Relations between the statistics of natural images and the response properties of cortical cells. , 1987, Journal of the Optical Society of America. A, Optics and image science.
[138] Manfred H. Hueckel. An Operator Which Locates Edges in Digitized Pictures , 1971, J. ACM.
[139] Y. Zhang,et al. A REVIEW ON IMAGE SEGMENTATION TECHNIQUES WITH REMOTE SENSING PERSPECTIVE , 2010 .
[140] Chabane Djeraba,et al. Real-time crowd motion analysis , 2008, 2008 19th International Conference on Pattern Recognition.
[141] Ramin Zabih,et al. Histogram refinement for content-based image retrieval , 1996, Proceedings Third IEEE Workshop on Applications of Computer Vision. WACV'96.
[142] Yo-Ping Huang,et al. Image Retrieval Based on Dominant Texture Features , 2006, 2006 IEEE International Symposium on Industrial Electronics.
[143] Nuno Vasconcelos,et al. Analysis of Crowded Scenes using Holistic Properties , 2009 .
[144] Svitlana Zinger,et al. Region labeling for surveillance video : techniques and application , 2014 .
[145] Md. Monirul Islam,et al. A review on automatic image annotation techniques , 2012, Pattern Recognit..
[146] Tony Lindeberg,et al. Discrete derivative approximations with scale-space properties: A basis for low-level feature extraction , 1993, Journal of Mathematical Imaging and Vision.
[147] Kuo-Chin Fan,et al. Lane detection using directional random walks , 2008, 2008 IEEE Intelligent Vehicles Symposium.
[148] Tieniu Tan,et al. A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).
[149] Peter H. N. de With,et al. ViCoMo: visual context modeling for scene understanding in video surveillance , 2013, J. Electronic Imaging.
[150] Antonio Criminisi,et al. Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning , 2012, Found. Trends Comput. Graph. Vis..
[151] Jiebo Luo,et al. Improved blue sky detection using polynomial model fit , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..
[152] Shane Torbert,et al. Applied Computer Science , 2012, Springer New York.
[153] A. Treisman,et al. A feature-integration theory of attention , 1980, Cognitive Psychology.