Video Object Tracking Method Based on Normalized Cross-correlation Matching
Combing with specific temporal information of video, this paper proposes a kind of video object tracking method based on normalized cross-correlation matching by using the high precision characteristics of normalized cross-correlation image matching. Firstly, extract video background from the temporal information of video. Then, acquire the region of moving object using background subtraction. Lastly, carry out related matching and updating towards the extracted moving object by means of normalized cross-correlation. Experimental result shows that the adaptability of our method is strong, which can well solve the tracking problems when tracking objects have scale transform. It also has good anti-interference ability and robustness, and can track moving objects accurately under the condition of noise interference, lens dithering and background mutation.
Object Tracking Normalized Cross-correlation Template Updating Object Matching
Jian Wu Heng-jun Yue Yan-yan Cao Zhi-ming Cui
The Institute of Intelligent Information Processing and Application; Provincial Key Laboratory for C The Institute of Intelligent Information Processing and Application;Provincial Key Laboratory for Co
国际会议
电子商务、工程及科学领域的分布计算和应用国际会议(DCABES 2010)
香港
英文
523-527
2010-08-10（万方平台首次上网日期，不代表论文的发表时间）