Object tracking with particle filter in UAV video

Wenshuai Yu; Xiaodong Yin; Bing Chen; Jinhua Xie

doi:10.1117/12.2031562

26 October 2013 Object tracking with particle filter in UAV video

Wenshuai Yu, Xiaodong Yin, Bing Chen, Jinhua Xie

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 891810 (2013) https://doi.org/10.1117/12.2031562
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

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.

Citation Download Citation

Wenshuai Yu, Xiaodong Yin, Bing Chen, and Jinhua Xie "Object tracking with particle filter in UAV video", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 891810 (26 October 2013); https://doi.org/10.1117/12.2031562

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