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A Spatio-Temporal Appearance Representation for Video-Based Pedestrian Re-Identification
2015
2015 IEEE International Conference on Computer Vision (ICCV)
Pedestrian re-identification is a difficult problem due to the large variations in a person's appearance caused by different poses and viewpoints, illumination changes, and occlusions. Spatial alignment is commonly used to address these issues by treating the appearance of different body parts independently. However, a body part can also appear differently during different phases of an action. In this paper we consider the temporal alignment problem, in addition to the spatial one, and propose
doi:10.1109/iccv.2015.434
dblp:conf/iccv/LiuMZH15
fatcat:vxpltuy5kjepbhct54omstbht4