NDLI: Real-time robust tracking via sparse representation: A mode-seeking approach

Content Provider	IEEE Xplore Digital Library
Author	Babu, R.V.
Copyright Year	2013
Description	Author affiliation: Video Analytics Lab., Indian Inst. of Sci., Bangalore, India (Babu, R.V.)
Abstract	In this paper, we propose a robust realtime tracking as a mode seeking process over likelihood map via sparse representation. In order to estimate the likelihood map, the target and candidate models were represented as overlapping patches. The likelihood map of the target candidate is obtained by sparsely representing the candidate patches in the space spanned by target patches and trivial bases. The object is localized by iteratively seeking the mode of this likelihood map. Since the mode-seeking process localizes the object in few iterations, it achieves realtime speed. Since the local patches are less sensitive to global appearance and illumination changes, the proposed approach shows robustness to the aforementioned challenges. We quantify the performance of the proposed tracker on many video sequences with various challenges involving occlusion, illumination change and pose variations. The proposed approach shows excellent performance in terms of robustness and speed compared to other trackers.
Starting Page	3919
Ending Page	3923
File Size	742388
Page Count	5
File Format	PDF
ISBN	9781479923410
DOI	10.1109/ICIP.2013.6738807
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-15
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	l1 minimization Visual Tracking Sparse Representation Mode seeking Likelihood Map
Content Type	Text
Resource Type	Article

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