30 October 2009 Adaptive tracking method for ground target of FLIR imaging
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Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74951A (2009); doi: 10.1117/12.832515
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China
Abstract
An adaptive tracking method for ground target in FLIR image including centric and eccentric tracking is presented in this paper. The eccentric tracking is adopted to assist ATR or manual target acquisition by stabilizing the light axis of the seeker. The tracking adaptability detection at the start of centric tracking avoids tracking bad locked point and decreases the shift, slide and jump in the subsequent tracking. Combination of periodic template-updating based on scale variance rate and interruptive template-updating based on supervision of tracking point enhances the adaptability of tracking template. Supervision, modification of current tracking point and the combination of direct and indirect tracking increase the stability of tracking system. The multi-scale and size-variable template is adopted to fit the variable target scale. The detection and adoption of occlusion mask increase the accuracy of the tracking system. The hardware system based on multi-DSP takes a real-time parallel processing. The trial results show that this method is efficient to reduce the possibility of shift, slide, and jump in ground target tracking comparing with the traditional correlation tracking method.
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Yun Li, Tianxu Zhang, Zhengrong Zuo, Meijun Wan, "Adaptive tracking method for ground target of FLIR imaging", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74951A (30 October 2009); doi: 10.1117/12.832515; https://doi.org/10.1117/12.832515
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KEYWORDS
Forward looking infrared

Automatic target recognition

Automatic tracking

Parallel processing

Target detection

Digital signal processing

Image segmentation

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