Robustness analysis of pedestrian detectors for surveillance

• Main Authors: Fang, Yuming, Ding, Guanqun, Yuan, Yuan, Lin, Weisi, Liu, Haiwen
• 其他作者: School of Computer Science and Engineering
• 格式: Article
• 語言: English
• 出版: 2018
• 主題: Object Detection; Video Surveillance
• 在線閱讀: https://hdl.handle.net/10356/87575; http://hdl.handle.net/10220/45447
• 機構: Nanyang Technological University

To obtain effective pedestrian detection results in surveillance video, there have been many methods proposed to handle the problems from severe occlusion, pose variation, clutter background, and so on. Besides detection accuracy, a robust surveillance video system should be stable to video quality...