Attribute-aware pedestrian detection in a crowd

• المؤلفون الرئيسيون: ZHANG, Jialiang, LIN, Lixiang, ZHU, Jianke, LI, Yang, CHEN, Yun-chen, HU, Yao, HOI, Steven C. H.
• التنسيق: text
• اللغة: English
• منشور في: Institutional Knowledge at Singapore Management University 2021
• الموضوعات: Attribute-aware; non-maximum suppression (nms); pedestrian detection; Databases and Information Systems; Numerical Analysis and Scientific Computing
• الوصول للمادة أونلاين: https://ink.library.smu.edu.sg/sis_research/6967; https://ink.library.smu.edu.sg/context/sis_research/article/7970/viewcontent/AttributeAwarePedestrian_av.pdf

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...