Particle filter based tracking of moving object from image sequence

Authors:
Yuji Iwahori;Toshihiro Takai;Haruki Kawanaka;Hidenori Itoh;Yoshinori Adachi
Affiliations:
Chubu University, Kasugai, Japan;Nagoya Institute of Technology, Nagoya, Japan;Aichi Prefectural University, Japan;Nagoya Institute of Technology, Nagoya, Japan;Chubu University, Kasugai, Japan
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Year:
2006

Citing 7
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Abstract

Object tracking is an important topic in computer vision and image recognition. The probabilistic approach using the particle filter has been recently used for the tracking of moving objects. Based on our trajectory recording system of the soccer scene with multiple video cameras at one view point, we propose the extended approach to increase the tracking robustness and accuracy using the particle filter. The proposed approach makes it possible to pass the necessary particle information using the color histogram and other key factors from one image to the next image, which are taken through the different camera scene with one PC. The performance of the proposed approach is evaluated in the experiments with real video sequence. It is shown that one PC can handle two video images in real-time.