Online two-stage association method for robust multiple people tracking

Jingqin Lv; Jiangxiong Fang; Jie Yang

doi:10.1117/1.3600423

1 July 2011 Online two-stage association method for robust multiple people tracking

Jingqin Lv, Jiangxiong Fang, Jie Yang

Author Affiliations +

Optical Engineering, Vol. 50, Issue 7, 077207 (July 2011). https://doi.org/10.1117/1.3600423

Abstract

Robust multiple people tracking is very important for many applications. It is a challenging problem due to occlusion and interaction in crowded scenarios. This paper proposes an online two-stage association method for robust multiple people tracking. In the first stage, short tracklets generated by linking people detection responses grow longer by particle filter based tracking, with detection confidence embedded into the observation model. And, an examining scheme runs at each frame for the reliability of tracking. In the second stage, multiple people tracking is achieved by linking tracklets to generate trajectories. An online tracklet association method is proposed to solve the linking problem, which allows applications in time-critical scenarios. This method is evaluated on the popular CAVIAR dataset. The experimental results show that our two-stage method is robust.

©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)

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Jingqin Lv, Jiangxiong Fang, and Jie Yang "Online two-stage association method for robust multiple people tracking," Optical Engineering 50(7), 077207 (1 July 2011). https://doi.org/10.1117/1.3600423

Published: 1 July 2011

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KEYWORDS

Particle filters

Optical tracking

Head

Reliability

Surveillance

Cameras

Optical engineering

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