Performance Evaluation of Visual Tracking Algorithms on Video Sequences With Quality Degradation

• المؤلفون الرئيسيون: Fang, Yuming, Yuan, Yuan, Li, Leida, Wu, Jinjian, Lin, Weisi, Li, Zhiqiang
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2018
• الموضوعات: Quality Degradation; Performance Evaluation
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/86821; http://hdl.handle.net/10220/44259

Recently, there are lots of visual tracking algorithms proposed to improve the performance of object tracking in video sequences with various real conditions, such as severe occlusion, complicated background, fast motion, and so on. In real visual tracking systems, there are various quality degradat...