Multi-Stage Video Analysis Framework

The chapter is organized as follows. Section 2 presents the general structure of the proposed framework and a method of data exchange between system elements. Section 3 is describing the low-level analysis modules for detection and tracking of moving objects. In Section 4 we present the object classification module. Sections 5 and 6 describe specialized modules for detection and recognition of faces and license plates, respectively. In section 7 we discuss how video analysis results provided by other modules may be used for automatic detection of events related to possible security threats. The chapter ends with conclusions and discussion of future framework development.

[1]  Chen-Chung Liu,et al.  An extraction algorithm of vehicle license plate numbers using pixel value projection and license plate calibration , 2010, 2010 International Symposium on Computer, Communication, Control and Automation (3CA).

[2]  Janusz Konrad,et al.  Videopsy: dissecting visual data in space-time , 2007, IEEE Communications Magazine.

[3]  Weizhong Zhao,et al.  Automatic License Plate Recognition System Based on Color Image Processing , 2005, ICCSA.

[4]  Andrzej Czyzewski,et al.  Vehicle Classification Based on Soft Computing Algorithms , 2010, RSCTC.

[5]  Piotr Dalka,et al.  Detection and segmentation of moving vehicles and trains using Gaussian mixtures, shadow detection and morphological processing , 2006 .

[6]  Thomas Vetter,et al.  A morphable model for the synthesis of 3D faces , 1999, SIGGRAPH.

[7]  Andrzej Czyzewski,et al.  Estimation of object size in the calibrated camera image , 2009 .

[8]  Chih-Jen Lin,et al.  A Practical Guide to Support Vector Classication , 2008 .

[9]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[10]  W. Eric L. Grimson,et al.  Learning Patterns of Activity Using Real-Time Tracking , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Luc Van Gool,et al.  SURF: Speeded Up Robust Features , 2006, ECCV.

[12]  Larry S. Davis,et al.  Non-parametric Model for Background Subtraction , 2000, ECCV.

[13]  Montse Pardàs,et al.  Shadow removal with blob-based morphological reconstruction for error correction , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[14]  John G. Daugman,et al.  Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression , 1988, IEEE Trans. Acoust. Speech Signal Process..

[15]  Quan Pan,et al.  Real-time and accurate segmentation of moving objects in dynamic scene , 2004, VSSN '04.

[16]  Andrzej Czyzewski,et al.  Visual Traffic Noise Monitoring in Urban Areas , 2007 .

[17]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[18]  Edward R. Dougherty,et al.  Hands-on Morphological Image Processing , 2003 .

[19]  Dong-Gyu Sim,et al.  A modified Zernike moment shape descriptor invariant to translation, rotation and scale for similarity-based image retrieval , 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

[20]  Ping Dong,et al.  The Application and Development Perspective of Number Plate Automatic Recognition Technique , 2006, 2006 2nd International Conference on Information & Communication Technologies.

[21]  Nicolai Petkov,et al.  Comparison of texture features based on Gabor filters , 1999, Proceedings 10th International Conference on Image Analysis and Processing.

[22]  Jan Flusser,et al.  Rotation Moment Invariants for Recognition of Symmetric Objects , 2006, IEEE Transactions on Image Processing.

[23]  Roman Słowiński,et al.  Rough Sets and Current Trends in Computing , 2012, Lecture Notes in Computer Science.

[24]  Andrzej Czyzewski,et al.  A Framework for Automatic Detection of Abandoned Luggage in Airport Terminal , 2010 .

[25]  Matthew Turk,et al.  A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.

[26]  King Ngi Ngan,et al.  Automatic video segmentation and tracking for content-based applications , 2007, IEEE Communications Magazine.

[27]  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.

[28]  J. L. Roux.  An Introduction to the Kalman Filter , 2003 .

[29]  Andrzej Czyzewski,et al.  Examining Kalman Filters Applied to Tracking Objects in Motion , 2008, 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services.

[30]  N. Thacker,et al.  Multiple shape recognition using pairwise geometric histogram based algorithms , 1995 .