Tracking Dim–Small Object Based on the Hyperspectral Features

Author:

Sheng Hao,Ouyang Yuanxin,Li Chao,Rong Wenge,Xiong Zhang

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference18 articles.

1. Doucet A., Gordon N., Krishnamurthy V.: Particle filter for state estimation of jump Markov linear systems. IEEE Trans. Signal Process. 49, 613–624 (2001)

2. Gao, J.; Kosaka, A.; Kak, A.C.: A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments. Comput. Vis. Image Underst. 99(1), 1–57 (2005)

3. Meyer, M.; Ohmacht, T.; Bosch, R.: Video surveillance applications using multiple views of a scene. IEEE Aerosp. Electron. Syst. Mag. 14(3), 13–18 (1999)

4. Wang, L.; Hu, S.; Zhang, X.: Detecting and tracking of small moving target under the background of sea level. In: Proceedings of the 9th International Conference on Signal Processing, ICSP’2008, Beijing, China, pp. 989–992 (2008)

5. Hamdulla A.: A particle filter and fuzzy clustering based algorithm for tracking dim moving multiple point targets in IR image sequence. Comput. Sci. Inf. Eng. 7, 205–209 (2009)

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