Camera Tamper Detection and Classification for Video Surveillance

• Main Authors: Cheng-Chih Hsu, 徐承志
• Other Authors: Wei-Chang Du
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/48169330973332496293

碩士 === 義守大學 === 資訊工程學系 === 104 === Digital cameras had been used widely in applications of home security, road monitoring, community guard, and become an important part of health care and deterring crime.Because of increaseddigital cameras day by day, monitoring staffs need to watch numerous of screens at the same time so that it’s easy to losesome of details.To maintain the system to work normally, monitoring system should be able to detect the abnormal situation automatically, and avoid human factors or other reasons to lose the monitoring function. This research firstly investigates the possible reasons and proposes the way to detect the unusual monitoring camera.Besides the obstruction, fuzzy and displacement can be detected immediately, this system could also classify different types of damage as the main basis for status exclusion.Finally,some indoor and outdoor environments are given to test empirically for reliability evaluation.