Mr. Meijun Wan Profile

Meijun Wan

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Proceedings Article | 30 October 2009 Paper

Adaptive tracking method for ground target of FLIR imaging

Yun Li, Tianxu Zhang, Zhengrong Zuo, Meijun Wan

Proceedings Volume 7495, 74951A (2009) https://doi.org/10.1117/12.832515

KEYWORDS: Forward looking infrared, Automatic target recognition, Automatic tracking, Parallel processing, Target detection, Target recognition, Target acquisition, Digital signal processing, Servomechanisms, Image segmentation

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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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