Title :
Video surveillance based on energy feature
Author :
Zong-bo, Hao ; Nan, Sang ; Chang-lin, Li ; Xin, Xu
Author_Institution :
Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Video surveillance is proposed in the paper. The three key features of abnormal behavior are represented by energy. In which the velocity of the moving target is reflected by optical flow, and the disorder feature of the motion is expressed by entropy. For the last feature, energy is used to express the relative positions of the moving targets. The experiments show the good effects of the method in fighting surveillance.
Keywords :
entropy; image motion analysis; image sequences; video surveillance; fighting surveillance; motion disorder feature; motion energy feature; motion entropy; moving target velocity; optical flow reflection; video surveillance; Computer vision; Entropy; Image motion analysis; Kinetic energy; Optical filters; Optical reflection; Pixel; Motion Energy Feature; Motion Entropy; Optical Flow; Video surveillance;
Conference_Titel :
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8025-8
DOI :
10.1109/ICACIA.2010.5709900
