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Detection using Optical Flow and EMD Algorithm and Tracking using Kalman Filter of Moving Objects
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 Title & Authors
Detection using Optical Flow and EMD Algorithm and Tracking using Kalman Filter of Moving Objects
Lee, Jung Sik; Joo, Yung Hoon;
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 Abstract
We proposes a method for improving the identification and tracking of the moving objects in intelligent video surveillance system. The proposed method consists of 3 parts: object detection, object recognition, and object tracking. First of all, we use a GMM(Gaussian Mixture Model) to eliminate the background, and extract the moving object. Next, we propose a labeling technique forrecognition of the moving object. and the method for identifying the recognized object by using the optical flow and EMD algorithm. Lastly, we proposes method to track the location of the identified moving object regions by using location information of moving objects and Kalman filter. Finally, we demonstrate the feasibility and applicability of the proposed algorithms through some experiments.
 Keywords
Background subtraction;Object identification object tracking;Optical flow;Earth mover’s distancethen;
 Language
Korean
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