Mean Shift-Based Target Tracking for Moving Spherical Object in Video

Bo Zhao Li

doi:10.4028/www.scientific.net/AMM.623.156

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 623Mean Shift-Based Target Tracking for Moving...

Mean Shift-Based Target Tracking for Moving Spherical Object in Video

Abstract:

When researching on target tracking in the on or off line video, using a variety of methods such as MeanShift, Camshaft’s, feature points and optical flow algorithm. MeanShift target tracking algorithm is introduced in this paper. Firstly, tracking object is selected by human-computer interaction. Then color feature histogram is obtained using RGB color information, and color distribution probability image is got by converting color feature histogram. Finally, by comparing the probability difference of color distribution of the adjacent frames, motion directions of the object’s center are obtained, which object can be effectively tracked.

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Periodical:

Applied Mechanics and Materials (Volume 623)

Pages:

156-160

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.623.156

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Online since:

August 2014

Authors:

Bo Zhao Li*

Keywords:

Color Histogram, Face Tracking, Meanshift Algorithm

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