A Real-Time and Robust Approach for Short-Term Multiple Objects Tracking

摘要：

A real-time and robust approach for short-term multiple objects tracking is proposed in this paper. In this method,motion detection is used to detect moving objects in fixed scenes. A special and efficient method of morphological operation is applied to filter noise and connect split objects by a window with user defined size. Object matching is done by nearest neighbor method based on distance associated with position,color histogram and gradient orientation histogram. A simple but efficient tracking method is also proposed. The experiment results demonstrate that our method is very robust to track objects and handle short-term occlusion. And,the computation cost of our approach is very low that high-level features can be added to our tracking method to enhance the tracking performance when longterm occlusion.

关键词： multi-object tracking real-time robust short-term

作者: Zhu Dian Sun Huadong Yang Ningjian

作者单位: Digital Home Group,Intel Asia-Pacific Research & Development Ltd,Shanghai,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 2678-2682

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）