Title :
The motion detection based on background difference method and active contour model
Author_Institution :
Inst. of Electron. & Inf. Eng., Dalian Jiaotong Univ., Dalian, China
Abstract :
For the traditional moving target detection algorithm exists some problems such as determining threshold problems and more sensitive to noise, this paper presents a rapid extraction method based on variation level set of the edge blur moving objects. This method used the background difference method extract initial outline of moving target, and then used active contour model constraint edge detection; the final combined variation level set method with a second evolution to obtain accurate image segmentation. Experiments show that this method can rapidly and accurately segment moving object, for moving objects of different shapes and the rules of small-angle shot has a good adaptability and robustness.
Keywords :
edge detection; feature extraction; image motion analysis; image segmentation; object detection; active contour model; background difference method; edge blur moving object set; edge detection; image segmentation; motion detection; moving target detection algorithm; rapid extraction method; variation level set method; Active contours; Adaptation models; Image edge detection; Image segmentation; Image sequences; Level set; Object detection; Active Contour Model; Background Difference; Moving Target Detection; Variation Level Set;
Conference_Titel :
Information Technology and Artificial Intelligence Conference (ITAIC), 2011 6th IEEE Joint International
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8622-9
DOI :
10.1109/ITAIC.2011.6030378