Automatic Object Tracking Using Edge Orientation Histogram Based CamShift
Yang Yang, Zhiliang Wang, Dehui Sun, Mengmeng Zhang, Nannan Cheng · 2010
The automatic objects tracking in videos plays important roles in computer vision applications. In this paper, we propose an automatic object tracking method hybrid with GMM and edge orientation histogram based CamShift. GMM is applied to detect objects motion. Different moving objects are separated by connected component analysis. And CamShift is processed by using edge orientation histogram to track objects. We demonstrate the effectiveness and efficiency of this approach by experimenting on several video sequences.