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
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering; Pedestrian Detection; Cost-sensitive RealBoost
• Online Access: https://hdl.handle.net/10356/148833
• Institution: Nanyang Technological University

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...