Automatic Real-Time Moving Target Detection from Infrared Video

A novel progressive estimation scheme is proposed to detect moving targets in infrared video sequences in this work. The proposed algorithm does not place constraints on camera motions nor requires rigid backgrounds. The complexity of the algorithm is low so that it can be performed in real time. Computational results of the algorithm applied to a real-world infrared video sequence are given to demonstrate its superior detection performance.

[1]  James W. Davis,et al.  Real-time closed-world tracking , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[2]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[3]  Jiann-Der Lee,et al.  International Conference on Intelligent Information Hiding and Multimedia Signal Processing , 2008 .

[4]  Gérard G. Medioni,et al.  Detecting and tracking moving objects for video surveillance , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).