Title :
Illegal Entrant Detection at a Restricted Area in Open Spaces Using Color Features
Author :
Shih, Jau-Ling ; Han, Chin-Chuan ; Yan, Kai-Chiun
Author_Institution :
Inst. of Comput. Sci. & Inf. Eng., Chung-Hua Univ., Hsinchu
Abstract :
Developing an automatic and intelligent system to detect, track, recognize, and analyze moving objects could save human power in monitoring centers. In this study, the color features of an employee´s uniform were extracted to identify the entrance legality in a restricted area of an open space. The body of an entrant was segmented into three parts for locating the region of interest (ROI) using a watershed transform. Dominant color features extracted from the ROI were classified for preventing the illegal entrance. Some experiments were conducted to show the feasibility and validity of the proposed system
Keywords :
image colour analysis; image segmentation; object detection; security; target tracking; video surveillance; color features; color structure descriptor; illegal entrant detection; image segmentation; legality detection; moving object detection; moving object recognition; moving object tracking; region of interest; video surveillance; watershed transform; Cameras; Computer science; Computerized monitoring; Data mining; Feature extraction; Humans; Image recognition; Motion analysis; Object detection; Power engineering and energy; color structure descriptor; colorfeature; legality detection; video surveillance; watershed transform;
Conference_Titel :
Carnahan Conferences Security Technology, Proceedings 2006 40th Annual IEEE International
Conference_Location :
Lexington, KY
Print_ISBN :
1-4244-0174-7
DOI :
10.1109/CCST.2006.313431
