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Segmentation and tracking of static and moving objects in video surveillance scenarios

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3 Author(s)
Gallego, J. ; Univ. Politec. de Catalunya ; Pardas, M. ; Landabaso, J.-L.

In this paper we present a real-time object tracking system for monocular video sequences with static camera. The workflow is based on a pixel-based foreground detection system followed by foreground object tracking. The foreground detection method performs the segmentation in three levels: Moving Foreground, Static Foreground and Background level. The tracking uses the foreground segmentation for identifying the tracked objects, but minimizes the reliance on the foreground segmentation, using a modified Mean Shift tracking algorithm. Combining this tracking system with the Multi-Level foreground segmentation, we have improved the tracking results using the classification in static or moving objects. The system solves successfully a high percentage of the moving objects occlusions, and most of the occlusions between static and moving objects.

Published in:

Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on

Date of Conference:

12-15 Oct. 2008