Stable imaging tracking method based on learning online for ground moving target with multi-DSP processing

Yun Li; Sheng Zhong

doi:10.1117/12.902083

8 December 2011 Stable imaging tracking method based on learning online for ground moving target with multi-DSP processing

Yun Li, Sheng Zhong

Author Affiliations +

Proceedings Volume 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis; 800314 (2011) https://doi.org/10.1117/12.902083
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China

Abstract

A stable imaging tracking method based on learning online for ground moving target with multi-DSP processing is presented in this paper. Background window is set to track and predict the background image and supervise the intruder. The target learning online based on background prediction revises the accumulated tracking error. Different tracking strategy during different tracking states and risk level of intruder improves the stability and accuracy of tracking system especially in a long time of continual tracking. The parallel processing based on multiple DSP makes a real-time tracking system be possible.

Citation Download Citation

Yun Li and Sheng Zhong "Stable imaging tracking method based on learning online for ground moving target with multi-DSP processing", Proc. SPIE 8003, MIPPR 2011: Automatic Target Recognition and Image Analysis, 800314 (8 December 2011); https://doi.org/10.1117/12.902083

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