@inproceedings{60823a8e6c2a4f20b86a4e28a72d8ede,
title = "A research of targets tracking and positioning algorithm based on multi-feature fusion",
abstract = "In order to improve the accuracy and robustness of targets tracking and positioning, this paper proposes a particle filter algorithm based on multi-feature fusion. According to the diversity of character information, a multi-feature fusion strategy based on color, texture, and edge character has been developed, which can realize the comprehensive utilization of various visual features information. A feature criterion function has been addressed to the weighted strategy of multi-feature fusion, which can adjust adaptively the weight of feature and enhance the reliability of target tracking. Combined with binocular stereo vision technology, this algorithm can locate the target by calculating the geometrical relationship between the correspondence pixel points and spatial points. The test results show that the algorithm can realize the target tracking and positioning more accurately.",
keywords = "Adaptive weights, Binocular stereo vision, Multi-feature fusion, Particle filter, Target positioning, Target tracking",
author = "Pengfeng Chen and Long Zhao",
note = "Publisher Copyright: {\textcopyright} Springer Science+Business Media Singapore 2016.; 7th China Satellite Navigation Conference, CSNC 2016 ; Conference date: 18-05-2016 Through 20-05-2016",
year = "2016",
doi = "10.1007/978-981-10-0934-1\_30",
language = "英语",
isbn = "9789811009334",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Verlag",
pages = "333--343",
editor = "Jingnan Liu and Shiwei Fan and Jiadong Sun and Feixue Wang",
booktitle = "China Satellite Navigation Conference, CSNC 2016, Proceedings",
address = "德国",
}