4 March 2015 Contourlet transform based human object tracking
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Abstract
Human object tracking is a challenging problem in video processing applications, and is an important step toward development of surveillance system. In this paper, we have proposed a new method for tracking of a human object in video sequence which is based on Contourlet transform. We have chosen Contourlet transform as it has high directionality and represents salient features of image such as edges, curves and contours in better way as compared with wavelet transform. The proposed method is simple and does not require any other parameter except Contourlet coefficients. Results after applying the proposed method for human object tracking is compared with other state-of-theart methods in terms of visual as well as quantitative performance measures viz. Euclidean distance and Mahalanobis distance. The proposed method is found to be better than other methods.
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Manish Khare, Manish Khare, Om Prakash, Om Prakash, Rajneesh Kumar Srivastava, Rajneesh Kumar Srivastava, Ashish Khare, Ashish Khare, } "Contourlet transform based human object tracking", Proc. SPIE 9410, Visual Information Processing and Communication VI, 94100I (4 March 2015); doi: 10.1117/12.2083364; https://doi.org/10.1117/12.2083364
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