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Segmentation by weighted aggregation and perceptual hash for pedestrian detection
Affiliation:1. School of Electronic Information, Wuhan University, Wuhan 430072, China;2. School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430072, China;1. Department of Electronics and Communication Engineering, National Institute of Technology, Rourkela 769008, India;2. Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur 721302, India;1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Piazza Leonardo Da Vinci, 32, 20133 Milan, Italy;2. Reasoning for Complex Data (RECOD) Lab., Institute of Computing, University of Campinas (UNICAMP), Campinas, SP, Brazil;1. School of Control Science and Engineering, Shandong University, Jinan, Shandong 250010, China;2. Department of Radiology, Taishan Medical University, Taian, Shandong 271000, China;3. Medical Imaging Department, Taian Tumor Prevention and Treatment Hospital, Taian, Shandong 271000, China
Abstract:
Keywords:Pedestrian detection  Intra-class variation  Segmentation by weighted aggregation  Probability measure  Perceptual hash  BING  Estimation proposals  HASP
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