Fast and accurate pedestrian detection using dual-stage group cost-sensitive RealBoost with vector form filters

• Main Authors: Zhou, Chengju, Wu, Meiqing, Lam, Siew-Kei
• 其他作者: School of Computer Science and Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2021
• 主題: Engineering; Pedestrian Detection; Cost-sensitive RealBoost
• 在線閱讀: https://hdl.handle.net/10356/148833

Despite significant research efforts in pedestrian detection over the past decade, there is still a ten-fold performance gap between the state-of-the-art methods and human perception. Deep learning methods can provide good performance but suffers from high computational complexity which prohibits th...