A Detection Method of Abandoned Objects and Their Own Abandoner in the Security Surveillance Systems

• Main Authors: Liao, Jiao-Rou, 廖姣柔
• Other Authors: Lin, Sheng-Fuu
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/5x8fk8

碩士 === 國立交通大學 === 電控工程研究所 === 103 === In the field of public security surveillance system, the issues about abandoned objects and abandoner detection are more and more popular. The society security will be threatened by the dangerous objects abandoned intentionally as well as obstacles on the way of bus and railway. Besides, people often leave something in the public region accidentally. For the aforementioned events, institution checks the videos by people to find the abandoned objects and abandoner after events happen. In this thesis, we design an intelligent video surveillance to reduce the loading of human resource. There are three contributions of this thesis. First, this thesis proposes a set of features, including the invariant moment and histogram of gradients to detect the abandoned object accurately. Second, this thesis proposes an analysis of projection vector and estimation of angle to improve the accuracy of the abandoner detection. Finally, this thesis completes the prototype of system in abandoned objects and their own abandoner detection to reduce the loading of employees.