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Enhanced kernel-based tracking for monochromatic and thermographic video
conference contribution
posted on 2006-12-01, 00:00 authored by Q A Nguyen, Antonio Robles-KellyAntonio Robles-Kelly, C ShenIn this paper, we present an enhanced kernel-based tracker for monochromatic and thermographice video. The technique presented here employs the image intensity and the Local Binary Pattern (LBP) to construct a two dimensional histogram representative of the gray-scale values and the texture of the target under study. With the histogram at hand, we proceed to compute its power density function. The new location of the object is then determined making use of a mean-shift optimisation approach. We illustrate the performance of our method in both, thermographic and monochromatic footages and compare our results to an alternative. © 2006 IEEE.
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9780769526881ISBN-10
0769526888Publication classification
E1.1 Full written paper - refereedTitle of proceedings
Proceedings - IEEE International Conference on Video and Signal Based Surveillance 2006, AVSS 2006Usage metrics
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