Semantics-aware visual object tracking

• Main Authors: Shen, Chunhua, Yao, Rui, Lin, Guosheng, Zhang, Yanning, Shi, Qinfeng
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2019
• Subjects: Semantics; Engineering::Computer science and engineering; Visual Object Tracking
• Online Access: https://hdl.handle.net/10356/107568; http://hdl.handle.net/10220/50323; http://dx.doi.org/10.1109/TCSVT.2018.2848358
• Institution: Nanyang Technological University

In this paper, we propose a semantics-aware visual object tracking method, which introduces semantics into the tracking procedure and extends the model of an object with explicit semantics prior to enhancing the robustness of three key aspects of the tracking framework, i.e., appearance model, searc...