Xinliang Tang1, Xing Sun1, Zhenzhou Wang1, Pingping Yu1, Ning Cao2, *, Yunfeng Xu3
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1185-1198, 2020, DOI:10.32604/cmc.2020.010283
Abstract The appearance of pedestrians can vary greatly from image to image, and
different pedestrians may look similar in a given image. Such similarities and variabilities
in the appearance and clothing of individuals make the task of pedestrian re-identification
very challenging. Here, a pedestrian re-identification method based on the fusion of local
features and gait energy image (GEI) features is proposed. In this method, the human
body is divided into four regions according to joint points. The color and texture of each
region of the human body are extracted as local features, and GEI features of the
pedestrian gait are also… More >
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