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		                        		Research and Application of the Alarm Algorithm of the Obscured Video in Train Video Surveillance
		                        		
                        	
                        	
                        	
							
							
								
							
							
							
                        	 Hou Cao, Sun Xiaoping 
                           
                            
	                            
	                            
	                            
	                            	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.
	                             
	                            
	                            
	                            
	                            
	  							
	  							
	  							
								
	  							 
                            
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