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

• Main Authors: Fang, Yuming, Yuan, Yuan, Li, Leida, Wu, Jinjian, Lin, Weisi, Li, Zhiqiang
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2018
• 主題: Quality Degradation; Performance Evaluation
• 在線閱讀: 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...