Abstract:tracking objects under the presence of noise, objects with partial and full occlusions in complex environments is a challenge for classical mean shift and unscented Kalman filter algorithms. In this paper we propose a new algorithm combining mean shift algorithm with corrected backgroundweighted histogram (CBWH) and unscented Kalman filter (UKF). The CBWH scheme can effectively reduce background's interference in target localization. So CBWH can guarantee accurate localization of the target. Then UKF algorithm… Show more
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