Semantics-aware visual object tracking

• المؤلفون الرئيسيون: Shen, Chunhua, Yao, Rui, Lin, Guosheng, Zhang, Yanning, Shi, Qinfeng
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2019
• الموضوعات: Semantics; Engineering::Computer science and engineering; Visual Object Tracking
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/107568; http://hdl.handle.net/10220/50323; http://dx.doi.org/10.1109/TCSVT.2018.2848358
• المؤسسة: 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...