Object Tracking Method based on Color Particle Filter

Object tracking in real time video is a challenging task and has many necessary applications. Particle filtering has been proven very successful for non-Gaussian and non-linear estimation application. In this research, we tried to develop a color-based particle filter. And the color distributions of...

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Bibliographic Details
Published inProceedings of the International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV) p. 345
Main Authors Truong, Mai Thanh Nhat, Kim, Sanghoon
Format Conference Proceeding
LanguageEnglish
Published Athens The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp) 01.01.2016
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Summary:Object tracking in real time video is a challenging task and has many necessary applications. Particle filtering has been proven very successful for non-Gaussian and non-linear estimation application. In this research, we tried to develop a color-based particle filter. And the color distributions of video frames are integrated into particle filtering. Color distributions are applied because of their robustness and computational efficiency. The model of the particle filter is defined by the color information of the tracked object. The model is compared with the current hypotheses of the particle filter using the Bhattacharyya coefficient. The proposed tracking method directly incorporates the scale and motion changes of the objects. Experimental results have been presented to show the effectiveness of our proposed system