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Indexed by:会议论文

Date of Publication:2012-01-01

Included Journals:CPCI-S、Scopus

Page Number:1249-1252

Key Words:Scale Space; Mean Shift; Gaussian image pyramid; AUC

Abstract:The mean-shift algorithm is an efficient technique for 2D object tracking. Although the scale of the mean-shift kernel is a crucial parameter, there is presently no clean mechanism for choosing or updating scale while tracking objects that are changing in size. In this paper, Lindeberg's theory of scale selection based on local maxima of differential scale-space filters is improved and then adapted to select suitable scale of the mean-shift kernel in the process of multi-scale object tracking. In addition, AUC is regarded as a standard to evaluate the efficiency of the algorithm put forward above.