Mean Shift Tracking Algorithm based on Spatial Edge Orientation Histograms
基于空间边缘方向直方图的Mean Shift跟踪算法

Traditional mean shift tracking algorithm based on color histogram or spatial color histogram sometimes fails to get accurate results under intricate conditions,such as scale modifications occur to the objects.That is because the histograms based on color cannot distinguish objects and background have the same color.This paper presents a new mean shift algorithm based on spatial edge orientation histograms,using space distribution and texture information as matching information.Experiments proved the new algorithm can deal with intricate conditions,such as occlusion,different luminance and scale modifications,and track objects accurately,effectively and real time.The new algorithm also overcomes the limitations of the traditional one.