Dual Model Particle Filter for Irregular Moving Object Tracking in Sports Scenes
By superimposing some additional information(e.g. ball trajectory in baseball game and visualization of offside line in soccer game), a sports broadcast has become much attractive for audiences. For creating such additional information for many sports, it抯 necessary to track the objects (e.g. players or balls) steadily. Particle .lter 1 based on prediction with many distributed particles is well known as a robust object tracking algorithm and can be a promising tool for it. However, since conventional methods use one state transition model, the tracking accuracy is decreased for the objects with irregular motion which is often seen in many sports.
Yuhi Shiina Takeshi Ikenaga
Waseda University, Tokyo, Japan
国际会议
2011亚太信号与信息处理协会年度峰会(APSIPAASC 2011)
西安
英文
1-1
2011-10-18（万方平台首次上网日期，不代表论文的发表时间）