tailieunhanh - Báo cáo hóa học: " Research Article Object Tracking in Crowded Video Scenes Based on the Undecimated Wavelet Features and Texture Analysis"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Object Tracking in Crowded Video Scenes Based on the Undecimated Wavelet Features and Texture Analysis | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 243534 18 pages doi 2008 243534 Research Article Object Tracking in Crowded Video Scenes Based on the Undecimated Wavelet Features and Texture Analysis M. Khansari 1 H. R. Rabiee 1 M. Asadi 1 and M. Ghanbari1 2 1 Digital Media Lab AICTC Research Center Department of Computer Engineering Sharif University of Technology Azadi Avenue Tehran 14599-83161 Iran 2 Department of Electronic Systems Engineering University of Essex Colchester CO4 3SQ UK Correspondence should be addressed to H. R. Rabiee rabiee@ Received 9 October 2006 Revised 21 May 2007 Accepted 8 October 2007 Recommended by Jacques G. Verly We propose a new algorithm for object tracking in crowded video scenes by exploiting the properties of undecimated wavelet packet transform UWPT and interframe texture analysis. The algorithm is initialized by the user through specifying a region around the object of interest at the reference frame. Then coefficients of the UWPT of the region are used to construct a feature vector FV for every pixel in that region. Optimal search for the best match is then performed by using the generated FVs inside an adaptive search window. Adaptation of the search window is achieved by interframe texture analysis to find the direction and speed of the object motion. This temporal texture analysis also assists in tracking of the object under partial or short-term full occlusion. Moreover the tracking algorithm is robust to Gaussian and quantization noise processes. Experimental results show that the proposed algorithm has good performance for object tracking in crowded scenes on stairs in airports or at train stations in the presence of object translation rotation small scaling and occlusion. Copyright 2008 M. Khansari et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and .