Cascade Particle Filter for Human Tracking with Multiple and Heterogeneous Cameras

被引：1
|
作者：
Kobayashi, Keisuke [1 ]
Arai, Tamio [1 ]
机构：
[1] Univ Tokyo, Grad Sch Engn, Dept Precis Engn, Bunkyo Ku, Tokyo, Japan
来源：
2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO 2009), VOLS 1-4 | 2009年
关键词：
PEOPLE; COLOR;
D O I：
10.1109/ROBIO.2009.5420592
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, we propose a stochastic method for human tracking with heterogeneous cameras. Our tracking system employs two kinds of cameras, a foveated wide-angle lens and three network cameras. The tracking algorithm is based on cascade particle filter (CPF) involving two different weightings of particles. At the first stage of CPF, each particle is weighted by ground plane occupancy. At the second stage of CPF, each particle is weighted by similarity between color histograms. Each weighting utilizes an imaging-feature of each camera. Experimental results confirmed that the proposed method succeeded in human tracking.
引用
收藏
页码：682 / 687
页数：6
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