Open AccessResearch on Target Tracking Algorithm in occlusion scene
Author(s) -
Jianguang Zhao,
Cao Xin-ying
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/3/032048
Subject(s) - tracking (education) , computer vision , artificial intelligence , computer science , context (archaeology) , tracking system , video tracking , algorithm , video processing , kalman filter , geography , psychology , pedagogy , archaeology
Target tracking is widely used in video image, intelligent transportation, behavior analysis and other fields. At the same time, target tracking technology faces more and more challenges. In this paper, the target tracking technology in occlusion scene is studied, and the target tracking method based on spatiotemporal context and the target tracking method combined with depth network model are introduced respectively. The main ideas and principles of the two methods are analyzed, and the improvements based on these two methods are summarized. Finally, the problems existing in the future development of occluded target tracking algorithm are prospected.