… -identification. For traditional features, we use multiple color spaces for feature extraction, and
… all of the color features are fused together to improve the precision of the final recognition. …

… people under multiple cues. We believe that the use of face cues is able to aid in person
re-identification in … 2, A4 is a poor result retrieved through body cues; however, the face in the …

… propose a Multi-Cue and Temporal Attention (MCTA) framework to recognize persons in … ,
we extract features from multiple visual cue regions and utilize a Multi-Cue Attention Module to …

… Multi-Target Tracking (MTT) problem do not combine cues … -term temporal dependencies
across multiple cues. One key … ) that jointly reasons on multiple cues over a temporal window. …

… cues, and the social context, eg. the events that a person … context learning and person
identification as a unified process … -end to combine various visual cues adaptively with instance-…

… people, to account for cues originating from multiple people. … person detection that corresponds
best to the named person. … ,” we want to select the detection window that looks the most …

… identity cues and by using motion to bind these cues together. We will argue that the dynamic
and multisensory nature of identity cues … site for person recognition cues with acoustic and …

… And we call the person re-identification based on limited memory and weak computation the
… Person Re-Identification. More specifically, we propose to use different tiny CNNs and cues …

… representation of a video sequence for person re-identification. The spatial information is …
cues in forward and backward directions simultaneously and independently. Unlike RNN [2] …

… 1 visualizes the OFEI feature and shows that it could preserve discriminative cues such as
the human silhouettes or carry-on stuffs (regions with yellow bounding box) across cameras. …