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http://dx.doi.org/10.5391/JKIIS.2015.25.1.035

Moving Objects Tracking Method using Spatial Projection in Intelligent Video Traffic Surveillance System  

Hong, Kyung Taek (Korea Polytec University)
Shim, Jae Homg (Korea Polytec University)
Cho, Young Im (The University of Suwon)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.25, no.1, 2015 , pp. 35-41 More about this Journal
Abstract
When a video surveillance system tracks a specific object, it is very important to get quickly the information of the object through fast image processing. Usually one camera surveillance system for tracking the object made results in various problems such like occlusion, image noise during the tracking process. It makes difficulties on image based moving object tracking. Therefore, to overcome the difficulties the multi video surveillance system which installed several camera within interested area and looking the same object from multi angles of view could be considered as a solution. If multi cameras are used for tracking object, it is capable of making a decision having high accuracy in more wide space. This paper proposes a method of recognizing and tracking a specific object like a car using the homography in which multi cameras are installed at the crossroad.
Keywords
Moving; Object; Tracking; Traffic; Video; Surveillance; Projection; Homography; Identification;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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