Los Angeles, CA
March 31, 2009 to April 2, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CSIE.2009.892
This paper presents a novel and effective method for robust human tracking applied to far-infrared image sequences. It makes use of the characteristics of human body regions in far-infrared images and is based on a particle filter framework. The method constructs the regions of interest’s (ROI) histogram representation in an intensity-distance projection space, so as to hurdle the disadvantage of insufficient information when only intensity feature is considered. Furthermore, it correctly updates the above mentioned human body representation model which is embedded in the particle filter framework and propagate sample distributions over time. Experimental results using different far-infrared image sequences show the proposed scheme achieves more robust and stable than the classical tracking method.
Intensity-Distance Projection Space, human tracking, far-infrared images, particle filter
Jianfu Li, Weiguo Gong, Jinfei Yang, Weihong Li, "Intensity-Distance Projection Space Based Human Tracking in Far-Infrared Image Sequences", CSIE, 2009, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE, 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009, pp. 371-375, doi:10.1109/CSIE.2009.892