1. Research of Tracking and Prediction of Moving Object with Kalman
- Author
-
Song Chao Yang and Zhong Yong Wang
- Subjects
Convex hull ,Moving horizon estimation ,Computer science ,business.industry ,Optical flow ,General Medicine ,Kalman filter ,Object (computer science) ,Tracking (particle physics) ,Field (computer science) ,Pyramid ,Computer vision ,Pyramid (image processing) ,Artificial intelligence ,business ,Cluster analysis - Abstract
This paper puts forward a complete track forecasting models, using Kalman filter to track and predict the movement of objects without prior knowledge. Use the extracted Harris corner to calculate optical flow between two frames by L-K pyramid method, getting the convex hull of moving objects by optical flow clustering to separate the moving objects from background. Tracking and predicting the gravity of moving objects convex hull can solve the occlusion and separation problem between moving objects. Computer simulation and field test results show that the proposed method has higher tracking accuracy, and small amount of calculation.
- Published
- 2014