ICIP 2006, Atlanta, GA
 

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Paper Detail

Paper:MA-L5.8
Session:Content Summarization and Clustering
Time:Monday, October 9, 12:20 - 12:40
Presentation: Lecture
Topic: Image & Video Storage and Retrieval: Content summarization and editing
Title: A REAL-TIME ADAPTIVE THRESHOLDING FOR VIDEO CHANGE DETECTION
Authors: Chang Su; Concordia University 
 Aishy Amer; Concordia University 
Abstract: A real-time adaptive thresholding algorithm for change detection is proposed in this paper. Based on the estimation of the scatter of regions of change in a difference image, a threshold of each image block is computed discriminatively, then the global threshold is obtained by averaging all the thresholds for image blocks. The block threshold is calculated differently for regions of change and background. Experimental results show the proposed thresholding algorithm performs well for change detection with high efficiency.