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Person re-identification has important applications in video surveillance. It is particularly challenging because observed pedestrians undergo significant variations across camera views, and there are a large number of pedestrians to be distinguished given small pedestrian images from surveillance videos. This chapter discusses different approaches of improving the key components of a person reidentification system, including feature design, feature learning and metric learning, as well asdoi:10.1007/978-1-4471-6296-4_17 dblp:series/acvpr/WangZ14 fatcat:6b6uon4g6ncf3amubxlwh3ouxu