@inproceedings{f0e2f9203b924e51bfebd890595d69a6,
title = "Applying particle filter technology to object tracking",
abstract = "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.",
author = "Lu, {Tun Chang} and Hsu, {Shun Peng} and Huang, {Yu Xian} and Yi-Nung Chung and Chen, {Shi Ming}",
year = "2016",
month = jan,
day = "1",
doi = "10.1007/978-3-319-17314-6_14",
language = "English",
isbn = "9783319173139",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "105--111",
editor = "Jengnan Juang",
booktitle = "Proceedings of the 3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014",
address = "Germany",
note = "3rd International Conference on Intelligent Technologies and Engineering Systems, ICITES 2014 ; Conference date: 19-12-2014 Through 21-12-2014",
}