搜索资源列表
sklm-AAM
- 唇形跟踪,对象为唇部。 matlab仿真成功后需用VC实现并设计界面-Lip tracking, object for lip
DLTcode
- Robust Non-negative Dictionary Learning for Visual Tracking The provided codes could be either embedded into the benchmark framework of paper Online Object Tracking: A Benchmark (CVPR2013) (You can find details here: http://visual-tracking.net/) or
matlab-Kalman-Filter-for-Object-Tracking
- matlab Kalman filter for object tracking
程序与示例视频
- 可以实现视频中物体的跟踪,基本可以实现效果,但有待于改进(Object tracking in video can be achieved)