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Conventional tracking solutions are not feasible in handling abrupt motion asthey are based on smooth motion assumption or an accurate motion model. Abruptmotion is not subject to motion continuity and smoothness. To assuage this, wedeem tracking as an optimisation problem and propose a novel abrupt motiontracker that based on swarm intelligence - the SwaTrack. Unlike existingswarm-based filtering methods, we first of all introduce an optimisedswarm-based sampling strategy to tradeoff between the exploration andexploitation of the search space in search for the optimal proposaldistribution. Secondly, we propose Dynamic Acceleration Parameters (DAP) allowon the fly tuning of the best mean and variance of the distribution forsampling. Such innovating idea of combining these strategies in an ingeniousway in the PSO framework to handle the abrupt motion, which so far no existingworks are found. Experimental results in both quantitative and qualitative hadshown the effectiveness of the proposed method in tracking abrupt motions.

Refined Particle Swarm Intelligence Method for Abrupt Motion Tracking