Enhanced multi-task learning architecture for detecting pedestrian at far distance

• Main Authors: Zhou, Chengju, Wu, Meiqing, Lam, Siew-Kei
• 其他作者: College of Computing and Data Science
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Computer and Information Science; Multi-task learning; Pedestrian detection
• 在線閱讀: https://hdl.handle.net/10356/178581
• 機構: Nanyang Technological University

Existing pedestrian detection methods suffer from performance degradation in the presence of small-scale pedestrians who are positioned at far distance from the camera. We present a pedestrian detection framework that is not only robust to small- and large-scale pedestrians, but is also significantl...