Attribute-aware pedestrian detection in a crowd

• Main Authors: ZHANG, Jialiang, LIN, Lixiang, ZHU, Jianke, LI, Yang, CHEN, Yun-chen, HU, Yao, HOI, Steven C. H.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2021
• Subjects: Attribute-aware; non-maximum suppression (nms); pedestrian detection; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/6967; https://ink.library.smu.edu.sg/context/sis_research/article/7970/viewcontent/AttributeAwarePedestrian_av.pdf
• Institution: Singapore Management University

Pedestrian detection is an initial step to perform outdoor scene analysis, which plays an essential role in many real-world applications. Although having enjoyed the merits of deep learning frameworks from the generic object detectors, pedestrian detection is still a very challenging task due to hea...