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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35

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MULTI-VIEWPOINT TRACKING FOR VISUAL SURVEILLANCE USING SINGLE DOME CAMERA

Research Paper Open Access

International Journal of Latest Research in Science and Technology Vol.3 Issue 2, pp 66-72,Year 2014

MULTI-VIEWPOINT TRACKING FOR VISUAL SURVEILLANCE USING SINGLE DOME CAMERA

Malik Muhammad Khan,Intaek Kim, Youngsung Soh

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Received : 25 April 2014; Accepted : 28 April 2014 ; Published : 30 April 2014

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Article No. 10279
Abstract

Efficient surveillance systems crave to track multiple objects throughout the scene with unique tracking IDs. Tracking multiple objects robustly requires invariant attributes matching. If objects have to be tracked across viewpoints, then a technique is required to reassign those IDs. Such an approach is proposed which combines extended Kalman filter with past information for isolated object tracking. And whenever objects partially or fully overlapped, features like color, size and object class are used to distinguish between them. To track objects across viewpoints, color matching and expected position is find out. The proposed method is also robust to background modeling technique. The system was tested in real world application and successful results were obtained.

Key Words   
Multi-viewpoint tracking; Inter-viewpoint tracking; Multi-target Tracking; Kalman Filtering; Robust

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References
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To cite this article

Malik Muhammad Khan,Intaek Kim, Youngsung Soh , " Multi-viewpoint Tracking For Visual Surveillance Using Single Dome Camera ", International Journal of Latest Research in Science and Technology . Vol. 3, Issue 2, pp 66-72 , 2014

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