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2009 WRI World Congress on Computer Science and Information Engineering
Intensity-Distance Projection Space Based Human Tracking in Far-Infrared Image Sequences
Los Angeles, California USA
March 31-April 02
ISBN: 978-0-7695-3507-4
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.
Index Terms:
Intensity-Distance Projection Space, human tracking, far-infrared images, particle filter
Citation:
Jianfu Li, Weiguo Gong, Jinfei Yang, Weihong Li, "Intensity-Distance Projection Space Based Human Tracking in Far-Infrared Image Sequences," csie, vol. 6, pp.371-375, 2009 WRI World Congress on Computer Science and Information Engineering, 2009
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