Title :
A Real-Time Adaptive Thresholding for Video Change Detection
Author :
Su, Charles ; Amer, Aishy
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
Abstract :
A real-time adaptive non-parametric 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.
Keywords :
image segmentation; video signal processing; image block; real-time adaptive thresholding; video change detection; Change detection algorithms; Entropy; Histograms; Image processing; Image segmentation; Lighting; Noise level; Object detection; Pixel; Scattering; Image processing; image segmentation; object detection;
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
1-4244-0480-0
DOI :
10.1109/ICIP.2006.312373
