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Proceedings Paper

Object tracking with particle filter in UAV video
Author(s): Wenshuai Yu; Xiaodong Yin; Bing Chen; Jinhua Xie
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Paper Abstract

Aerial surveillance is a main functionality of UAV, which is realized via video camera. During the operations, the mission assigned targets always are the kinetic objects, such as people or vehicles. Therefore, object tracking is taken as the key techniques for UAV sensor payload. Two difficulties for UAV object tracking are dynamic background and hardly predicting target’s motion. To solve the problems, it employed the particle filter in the research. Modeling the target by its characteristics, for instance, color features, it approximates the possibility density of target state with weighting sample sets, and the state vector contains position, motion vector and region parameters. The experiments demonstrate the effectiveness and robustness of the proposed method in UAV video tracking.

Paper Details

Date Published: 26 October 2013
PDF: 7 pages
Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 891810 (26 October 2013); doi: 10.1117/12.2031562
Show Author Affiliations
Wenshuai Yu, Dalian Naval Academy (China)
Troops 91550 (China)
Xiaodong Yin, Dalian Naval Academy (China)
Bing Chen, Zhengzhou Information Institute (China)
Jinhua Xie, National Administration of Surveying, Mapping and Geoinformation (China)


Published in SPIE Proceedings Vol. 8918:
MIPPR 2013: Automatic Target Recognition and Navigation
Tianxu Zhang; Nong Sang, Editor(s)

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