title: Object Occlusion Detection Using Automatic Camera Calibration for a Wide-Area Video Surveillance System.
abstract: This paper presents an object occlusion detection algorithm using object depth information that is estimated by automatic camera calibration. The object occlusion problem is a major factor to degrade the performance of object tracking and recognition. To detect an object occlusion, the proposed algorithm consists of three steps: (i) automatic camera calibration using both moving objects and a background structure; (ii) object depth estimation; and (iii) detection of occluded regions. The proposed algorithm estimates the depth of the object without extra sensors but with a generic red, green and blue (RGB) camera. As a result, the proposed algorithm can be applied to improve the performance of object tracking and object recognition algorithms for video surveillance systems.
authors.affiliation: Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea. gjslkjs@gmail.com.
authors.forename: Jaehoon
authors.initials: J
authors.lastname: Jung
authors.affiliation: Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea. inhyey@gmail.com.|ADAS Camera Team, LG Electronics, 322 Gyeongmyeong-daero, Seo-gu, Incheon 22744, Korea. inhyey@gmail.com.
authors.forename: Inhye
authors.initials: I
authors.lastname: Yoon
authors.affiliation: Department of Image, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Korea. paikj@cau.ac.kr.
authors.forename: Joonki
authors.initials: J
authors.lastname: Paik
keywords: automatic camera calibration; depth estimation; moving object detection; occlusion detection; video surveillance system