원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.11 No.9
2016.09
pp.19-28
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
This paper proposes the tracking method for swimmer in the video with Kalman filtering prediction. The Kalman initiates the swimmer with feature such as the location of object and the size of its enclosing rectangle which can be got in the detection proceeding, which are used to predict the feature of the tracked simmer in subsequent frames and ascertain the scope for searching the tracked object. The results of experiments show that this method can be used to provide information for controlling cameras and this can help to track the swimmer in the next frames.
목차
Abstract
1. Introduction
2. Technology for Tracking Moving Objects in Video Sequences
3. Method for Tracking Swimming Athletes
4. Simulation Experiment on Swimmer Target Detection and FeatureExtraction Based on the Information Fusion of Time-Space Domain
5. Predictive Tracking Principle Based on Kalman Filter
6. Kalman Filtering Prediction Simulated Experiment on Swimming Videos
7. Conclusion
References
1. Introduction
2. Technology for Tracking Moving Objects in Video Sequences
3. Method for Tracking Swimming Athletes
4. Simulation Experiment on Swimmer Target Detection and FeatureExtraction Based on the Information Fusion of Time-Space Domain
5. Predictive Tracking Principle Based on Kalman Filter
6. Kalman Filtering Prediction Simulated Experiment on Swimming Videos
7. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보