Applying particle filter technology to object tracking

Tun Chang Lu, Shun Peng Hsu, Yu Xian Huang, Yi-Nung Chung, Shi Ming Chen

研究成果: Conference contribution

摘要

This study proposes an approach to track moving objects and to predict the observed targets based on the particle filter. This system includes three parts which are the foreground segmentation, the partial filtering, and the particle filter for tracking objects. In order to estimate the location of next state and track the moving objects, it applies the prior and current state based on the particle filter technology. Experimental result shows that this method can track objects accurately.

原文English
主出版物標題Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014
編輯Jengnan Juang
發行者Springer Verlag
頁面105-111
頁數7
ISBN(列印)9783319173139
DOIs
出版狀態Published - 2016 一月 1
事件3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014 - Kaohsiung, Taiwan
持續時間: 2014 十二月 192014 十二月 21

出版系列

名字Lecture Notes in Electrical Engineering
345
ISSN(列印)1876-1100
ISSN(電子)1876-1119

Other

Other3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014
國家Taiwan
城市Kaohsiung
期間14-12-1914-12-21

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering

引用此

Lu, T. C., Hsu, S. P., Huang, Y. X., Chung, Y-N., & Chen, S. M. (2016). Applying particle filter technology to object tracking. 於 J. Juang (編輯), Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014 (頁 105-111). (Lecture Notes in Electrical Engineering; 卷 345). Springer Verlag. https://doi.org/10.1007/978-3-319-17314-6_14