원문정보
보안공학연구지원센터(IJHIT)
International Journal of Hybrid Information Technology
Vol.8 No.7
2015.07
pp.267-276
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
The tracking of multi-target under dynamic background is a challenging issue in computer vision. We improve TLD algorithm by introducing multi-threading mechanism to expand the number of the tracking targets. Thus the excellent framework of TLD for accurate long-time single target tracking is kept, and the tracking of multiple moving targets is realized at the same time. The time cost of tracking also reduces effectively by this algorithm to meet the real-time demand in many dynamic scenes.
목차
Abstract
1. Introduction
2. Multi-Target Tracking Algorithm Based On TLD Under Dynamic Background
2.1 Algorithm Flow
2.2 Target Tracking
2.3 Target Detection
2.4 PN Learning
3. Experiment
3.1 The Experimental Results of Algorithm
3.2 Test for Occlusion by Background
3.3 Test for Occlusion by Targets
3.4 Test for PN Learning Mechanism
3.5 Test for real-time
4. Conclusion
Acknowledgements
References
1. Introduction
2. Multi-Target Tracking Algorithm Based On TLD Under Dynamic Background
2.1 Algorithm Flow
2.2 Target Tracking
2.3 Target Detection
2.4 PN Learning
3. Experiment
3.1 The Experimental Results of Algorithm
3.2 Test for Occlusion by Background
3.3 Test for Occlusion by Targets
3.4 Test for PN Learning Mechanism
3.5 Test for real-time
4. Conclusion
Acknowledgements
References
저자정보
참고문헌
자료제공 : 네이버학술정보