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Real-time and accuracy are key indicators of object tracking. Traditional particle filter tracking requires calculating a large number of particles, which influences its real-time performance, Mean-shift is a non-parametric kernel density iterative algorithm, which is easily prone to local optimum and converges on non-real target. This paper proposes a new fusion tracking algorithm. It firstly extracts...
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