Training robust deep video representations has proven to be much more challenging than
learning deep image representations. This is in part due to the enormous size of raw video …

The challenge of person re-identification (re-id) is to match individual images of the same
person captured by different nonoverlap** camera views against significant and unknown …

Person re-identification addresses the problem of matching people across disjoint camera
views and extensive efforts have been made to seek either the robust feature representation …

Person re-identification (Re-ID) is an application of video surveillance and has become
popular among Computer Vision and Image processing research communities since last …

Abstract Person Re-Identification (ReID) requires comparing two images of person captured
under different conditions. Existing work based on neural networks often computes the …

Person re-identification aims to match the images of pedestrians across different camera
views from different locations. This is a challenging intelligent video surveillance problem …

Abstract Person Re-Identification is the task of matching images of a person across multiple
camera views. Almost all prior approaches address this challenge by attempting to learn the …

Person re-identification aims to identify the same pedestrians across different camera views
at different locations. This important yet difficult intelligent video analysis problem remains a …

Person re-identification aims to match people across non-overlap** camera views, which
is an important but challenging task in video surveillance. In order to obtain a robust metric …

In this paper, we propose an effective person re-identification method with latent variables,
which represents a pedestrian as the mixture of a holistic model and a number of flexible …