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Background subtraction is a method typically used to segment moving regions in image sequences taken from a static camera by comparing each new frame with a model of the background scene. This paper proposes a novel fuzzy background subtraction algorithm for moving vehicle detection which achieves the high detection rates, and reduces the influence of illumination changes and shadows in the traffic...
This paper presents an adaptive mechanism for fusing multiple features for moving-object tracking in video sequences using a particle filter. The multiple features are fused to improve the representability of the tracking target. However, tracking success or failure also depends primarily on how distinguishable an object is from its adjacent background. Thus, to further improve the tracking performance,...
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