Low false alarm target detection and tracking within strong clutters in outdoor infrared videos

Author:

Li Changchun

Publisher

SPIE-Intl Soc Optical Eng

Subject

General Engineering,Atomic and Molecular Physics, and Optics

Reference13 articles.

1. Learning patterns of activity using real-time tracking

2. J. Shaik and K. Iftekharuddin , “Automated tracking and classification of infrared images,” inProc. Int. Joint Conf. on Neural Networks, Vol. 2, pp. 1201–1206, IEEE, Piscataway, NJ (2003).

3. Y. Sun, J. Tian, and J. Liu , “Background suppression based-on wavelet transformation to detect infrared target,” inProc.2005 Int. Conf. on Machine Learning and Cybernetics, Vol. 8, pp. 4611–4615, IEEE, Piscataway, NJ (2005).

4. L. Latecki, R. Miezianko, and D. Pokrajac , “Tracking motion objects in infrared videos,” inProc. IEEE Conf. on Advanced Video and Signal Based Surveillance, pp. 99–104, IEEE, Piscataway, NJ (2005).

5. X. Mei, S. Zhou, and H. Wu , “Integrated detection, tracking and recognition for ir video-based vehicle classification,” inProc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing, pp. V, IEEE, Piscataway, NJ (2006).

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