Adaptive multiple-feature fusion for moving-object tracking using particle filter

Abstract

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… (More)

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