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A Data Association Algorithm for Multiple Object Tracking in Video Sequences

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Abstract

This paper presents a particle filtering algorithm for multiple object tracking. The proposed particle filter (PF) embeds a data association technique based on the joint probabilistic data association (JPDA) which handles the uncertainty of the measurement origin.