Efficient Mean-Shift Tracking Using an Improved Weighted Histogram Scheme

• Dejun Wang,
• Kai Chen1,
• Weiping Sun,
• Shengsheng Yu,
• Hanbing Wang,

Vol. 8, No. 6, June 26, 2014
10.3837/tiis.2014.06.009, Download Paper (Free):

• Target tracking
• Mean-shift
• weighted histogram
• target representation

Abstract

An improved Mean-Shift (MS) tracker called joint CB-LBWH, which uses a combined weighted-histogram scheme of CBWH (Corrected Background-Weighted Histogram) and LBWH (likelihood-based Background-Weighted Histogram), is presented. Joint CB-LBWH is based on the notion that target representation employs both feature saliency and confidence to form a compound weighted histogram criterion. As the more prominent and confident features mean more significant for tracking the target, the tuned histogram by joint CB-LBWH can reduce the interference of background in target localization effectively. Comparative experimental results show that the proposed joint CB-LBWH scheme can significantly improve the efficiency and robustness of MS tracker when heavy occlusions and complex scenes exist.

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