Video Object Tracking Method Based on Snake Model Using Objects Histogram Information

摘要：

This paper presents a video object tracking algorithm based on snake model using objects histogram information, which is designed on the basis of objects histogram consistency between the consecutive image frames, and finally implemented by using the level set method. Because this algorithm uses the histogram information in the snake energy function, it overcomes the local minimization problem of video tracking algorithms based on the local characters, such as mean, deviation or motion vector. The contrastive experiment reveals that our algorithm performs better than those based on local characters.

作者: Guo Lihua Zhang Yuanjian

作者单位: School of Electronic and Information, South China University of Technology, Guangzhou, 510641, China

会议类型: 国际会议

会议名称: 2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)

会议地点: 广西桂林

会议语种:英文

页码: 57-61

在线出版日期: 2006-06-25（万方平台首次上网日期，不代表论文的发表时间）