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Multiple Moving Object Tracking Using The Background Model and Neighbor Region Relation  

Oh, Jeong-Won (Pantech Co., Ltd.)
Yoo, Ji-Sang (School of Electronics Engineering, kwangwoon University)
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Abstract
In order to extract motion features from an input image acquired by a static CCD-camera in a restricted area, we need a robust algorithm to cope with noise sensitivity and condition change. In this paper, we proposed an efficient algorithm to extract and track motion features in a noisy environment or with sudden condition changes. We extract motion features by considering a change of neighborhood pixels when moving objects exist in a current frame with an initial background. To remove noise in moving regions, we used a morphological filter and extracted a motion of each object using 8-connected component labeling. Finally, we provide experimental results and statistical analysis with various conditions and models.
Keywords
Motiona Trackin; commceted component; Background model; mophological filter; DVR;
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