2006 IEEE International Conference on Video and Signal Based Surveillance (2006)
Sydney, NSW, Australia
Nov. 22, 2006 to Nov. 24, 2006
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AVSS.2006.47
Quang Anh Nguyen , Australian National University, Australia
Antonio Robles-Kelly , Australian National University, Australia; National ICT Australia (NICTA), Australia
Chunhua Shen , Australian National University, Australia; National ICT Australia (NICTA), Australia
In this paper, we present an enhanced kernel-based tracker for monochromatic and thermographic video. The technique presented here employs the image intensity and the Local Binary Pattern (LBP) to construct a two dimensional histogram representative of the grayscale 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.
Q. A. Nguyen, A. Robles-Kelly and C. Shen, "Enhanced Kernel-Based Tracking for Monochromatic and Thermographic Video," 2006 IEEE International Conference on Video and Signal Based Surveillance(AVSS), Sydney, NSW, Australia, 2006, pp. 28.