New tracking method based on Kalman filter

[in Chinese]; [in Chinese]

Infrared and Laser Engineering, Volume. 33, Issue 5, 505(2004)

[in Chinese]^* and [in Chinese]

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[in Chinese]

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References(5)

[2] [2] Tao H, Sawhney H, Kumar R. Dynamic layer representation with applications to tracking[A]. Proc IEEE Conf on Comp Vision and Pattern Recogn, CVPR00[C]. 2000,2.134-141.

[3] [3] Cipra T, Romera R. Robust Kalman filter and its application in time series analysis[J]. Kybernetika, 1999,27(6):481-494.

[4] [4] Legter G R Jr, Young Y T. A mathematical model for computer image tracking[J]. IEEE Trans on PAMI, 1982,4(6):583-594.

[5] [5] Nguyen H T, Worring M, R van den Boomgaard. Occlusion robust adaptive template tracking[A]. Proc IEEE Conf on Computer Vision[C]. 2001,1.678-683.

[6] [6] Huber P. Robust statistic[M]. New York:John Wiley,1981.

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[in Chinese], [in Chinese]. New tracking method based on Kalman filter[J]. Infrared and Laser Engineering, 2004, 33(5): 505

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