Journal of Liaoning Petrochemical University
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Research and Application of the Alarm Algorithm of the Obscured Video in Train Video Surveillance
Hou Cao, Sun Xiaoping
Abstract310)      PDF (2929KB)(338)      
In train video, aimed at the obscured phenomenon of surveillance to static background, on the basis of the single gaussian background model, a kind of image block extraction algorithm of background subtraction division and the best segmentation threshold iterative idea was put forward. This algorithm could solve the background model update and shadow elimination of moving object detection. Experimental results showed that the algorithm could effectively analyze the monitoring of shade object in the scene to extract and the data analysis for train monitoring system.
2015, 35 (3): 61-64. DOI: 10.3696/j.issn.1672-6952.2015.03.015