Pedestrian Tracking in Infrared Video Based on Improved Particle Filter

doi:10.11908/j.issn.0253-374x.2015.12.018

Home > Archive>Volume 43, Issue 12, 2015 >1883-1887. DOI:10.11908/j.issn.0253-374x.2015.12.018

Pedestrian Tracking in Infrared Video Based on Improved Particle Filter
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                        10.11908/j.issn.0253-374x.2015.12.018
                    
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                        ZHANG ShaomingZHANG Shaoming
College of Surveying and Geo Informatics, Tongji University, Shanghai, 200092, China
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HU JianpingHU Jianping
College of Surveying and Geo Informatics, Tongji University, Shanghai, 200092, China
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SHI YangSHI Yang
College of Surveying and Geo Informatics, Tongji University, Shanghai, 200092, China
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Abstract:

An improved particle filter method for pedestrian tracking in infrared video is proposed. The objects are described in the scheme of particle filter using Histogram of Oriented Gradients(HOG). Instead of the Euclidean distance in color space, the HOG is employed to describe the similarity and compute the weights of the samples, which solves the issue of lack of color information for infrared video. Experimental results show that the method is more accurate and effective tracking of moving targets in complex scenes than traditional particle filter algorithm in infrared video.

Key words:infrared video; particle filter; histogram of oriented gradients(HOG); pedestrian tracking

Reference

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ZHANG Shaoming, HU Jianping, SHI Yang. Pedestrian Tracking in Infrared Video Based on Improved Particle Filter[J].同济大学学报(自然科学版),2015,43(12):1883~1887

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Received:June 05,2014
Revised:November 09,2015
Adopted:October 12,2015
Online: December 28,2015
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