Enhanced Kernel-based Tracking for Monochromatic and Thermographic Video
In 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...[Show more]
|Collections||ANU Research Publications|
|Source:||Proceedings of the IEEE International Conference on Video and Signal Based Surveillance|
|01_Nguyen_Enhanced_Kernel-based_Tracking_2006.pdf||552.17 kB||Adobe PDF||Request a copy|
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