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

• المؤلفون الرئيسيون: Zhou, Chengju, Wu, Meiqing, Lam, Siew-Kei
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2021
• الموضوعات: Engineering; Pedestrian Detection; Cost-sensitive RealBoost
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/148833
• المؤسسة: 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...