Research on the Detection and Tracking Method of Ship Intrusion and Remaining

This paper researches on the detection and tracking technology of ship intrusion and remaining based on the special surveillance video scenes of sea. A ship detection and tracking method that combines the adaptive background subtraction with centroid algorithm is proposed. Compared with the method of edge orientation histogram, the method proposed in this paper shows a lower computational complexity and a better real-time performance. The experiment demonstrate that this method has a high degree of accuracy. And it makes a realization of detecting and tracking of ship intrusion and remaining within the surveillance sea.

[1]  Zhang Zhi-bin An Improved Method of Adaptive Median Filtering , 2012 .

[2]  Guo Hai-xia An Improved Method of Adaptive Median Filter , 2007 .

[3]  Dorin Comaniciu,et al.  Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Xi Bao-feng Power Cable Technology Status and Trends Seeing from the 2010 CIGRE Conference , 2010 .

[5]  Dorin Comaniciu,et al.  Mean Shift: A Robust Approach Toward Feature Space Analysis , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Osama Masoud,et al.  Real time, online detection of abandoned objects in public areas , 2006, Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006..

[7]  Jitendra Malik,et al.  Shape matching and object recognition using shape contexts , 2010, 2010 3rd International Conference on Computer Science and Information Technology.

[8]  Yiğithan Dedeoğlu,et al.  Moving object detection, tracking and classification for smart video surveillance , 2004 .