Author:
Noguchi Hiroshi, ,Mori Taketoshi,Matsumoto Takashi,Shimosaka Masamichi,Sato Tomomasa,
Abstract
In this paper, we propose a method for multiple-person tracking using cameras and laser range scanners. Our method estimates 3D positions of human body and head, and labels them with their identities. Individual particle filters track person correctly by integrating information from laser range scanners and target-specific information from cameras, thus compensating for weak points of each. We also develop a particle filter framework that tracks the human head simultaneously using the estimated body position. Results of experiments demonstrate the effectiveness and robustness of the proposal in tracking multiple persons with multiple scanners and cameras.
Publisher
Fuji Technology Press Ltd.
Subject
Electrical and Electronic Engineering,General Computer Science
Reference20 articles.
1. Y. Kobayashi, D. Sugimura, Y. Sato, K. Hirasawa, N. Suzuki, H. Kage, and A. Sugimoto, “3D Head Tracking using the Particle Filter with Cascaded Classifiers,” In The British Machine Vision Conf., pp. 37-46, 2006.
2. Y. Matsumoto, T. Kato, and T. Wada, “An Occlusion Robust Likelihood Integration Method for Multi-Camera People Head Tracking,” In Int. Conf. on Networked Sensing Systems, pp. 235-242, 2007.
3. K. Kim and L. S. Davis, “Multi-camera Tracking and Segmentation of Occluded People on Ground Plane Using Search-Guided Particle Filtering,” In ECCV, pp. 98-109, 2006.
4. T. Mori, H. Noguchi, A. Takada, and T. Sato, “Sensing Room Environment: Distributed Sensor Space for Measurement of Human Dialy Behavior,” Trans. of the Society of Instrument and Control Engineers, E-S-1 No.1, pp. 97-103, 2006.
5. W.-H. Liau, C.-L. Wu, and L.-C. Fu, “Inhabitants Tracking System in a Cluttered Home Environment Via Floor Load Sensors,” IEEE Trans. on Automation Science and Engineering, Vol.5, No.1, pp. 10-20, 2008.
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献