Gesture tracking algorithm based on Otsu threshold segmentation and mean shift
Zhao Yong-hui
Deng Yan
LIU Li-wei
Xu Xiao-peng
Feng Wen-feng
Abstract：Gesture tracking is a key technology in computer vision, and it is the key technology of non-contact human computer interaction. In a complex environment, the traditional mean shift tracking algorithm is difficult to accurately track the gestures. In order to solve the problem that the traditional mean shift tracking algorithm can not adjust the size of the tracking window automatically, the mean shift tracking algorithm based on Otsu is proposed. The algorithm can be used to determine the size of tracking window by Otsu. The results show that the algorithm can accurately track the real-time and stable ROI.
Keywords：OTSU threshold segmentationmean shifthand gesture trackingROI region
Publication Date：2015-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：5( 88-92 )