NDLI: A novel probabilistic approach for real time motion segmentation and tracking

Content Provider	IEEE Xplore Digital Library
Author	Kumar, A. Gupta, S.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. Eng., Indian Inst. of Technol., Kanpur, India (Kumar, A.)
Abstract	An adaptive and fully automatic video object tracking scheme is developed on the basis of motion segmentation of the image sequences using a novel probabilistic framework. The inherent idea is to track the moving objects in the current frame and update the frame using a robust Bayesian estimation so that it provides an accurate estimation of the next frame, even when the next frame might be missing. The proposed model uses the homogeneity of image regions based upon probabilistic motion parameters of moving objects in an image to segment them out into video object regions (VOR). Each VOR is modeled as a 4-clique Markov field. Experimental results on the tennis sequence are provided which clearly elucidate that the proposed algorithm is very efficient computationally as well as being accurate and almost real time.
Sponsorship	Universiti Teknologi Malaysia
Starting Page	136
Ending Page	139
File Size	458473
Page Count	4
File Format	PDF
ISBN	0780367030
DOI	10.1109/ISSPA.2001.949794
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-08-13
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion segmentation Computer vision Tracking Layout Image segmentation Motion estimation Signal processing algorithms History Image sequences Robustness
Content Type	Text
Resource Type	Article

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