Deep learning for person re-identification: A survey and outlook
Person re-identification (Re-ID) aims at retrieving a person of interest across multiple non-
overlapping cameras. With the advancement of deep neural networks and increasing …
overlapping cameras. With the advancement of deep neural networks and increasing …
End-to-end comparative attention networks for person re-identification
Person re-identification across disjoint camera views has been widely applied in video
surveillance yet it is still a challenging problem. One of the major challenges lies in the lack …
surveillance yet it is still a challenging problem. One of the major challenges lies in the lack …
Learning context graph for person search
Person re-identification has achieved great progress with deep convolutional neural
networks. However, most previous methods focus on learning individual appearance feature …
networks. However, most previous methods focus on learning individual appearance feature …
A systematic evaluation and benchmark for person re-identification: Features, metrics, and datasets
Person re-identification (re-id) is a critical problem in video analytics applications such as
security and surveillance. The public release of several datasets and code for vision …
security and surveillance. The public release of several datasets and code for vision …
TPM: Multiple object tracking with tracklet-plane matching
Multiple object tracking (MOT) aims to model the temporal relationship among detected
objects and associate them into trajectories. Thus, one major challenge of MOT lies in the …
objects and associate them into trajectories. Thus, one major challenge of MOT lies in the …
Multimedia datasets for anomaly detection: a review
Multimedia anomaly datasets play a crucial role in automated surveillance. They have a
wide range of applications expanding from outlier objects/situation detection to the detection …
wide range of applications expanding from outlier objects/situation detection to the detection …
Template matching with deformable diversity similarity
I Talmi, R Mechrez… - Proceedings of the IEEE …, 2017 - openaccess.thecvf.com
We propose a novel measure for template matching named Deformable Diversity Similarity--
based on the diversity of feature matches between a target image window and the template …
based on the diversity of feature matches between a target image window and the template …
Vstore: A data store for analytics on large videos
We present VStore, a data store for supporting fast, resource-efficient analytics over large
archival videos. VStore manages video ingestion, storage, retrieval, and consumption. It …
archival videos. VStore manages video ingestion, storage, retrieval, and consumption. It …
Learning multi-attention context graph for group-based re-identification
Learning to re-identify or retrieve a group of people across non-overlapped camera systems
has important applications in video surveillance. However, most existing methods focus on …
has important applications in video surveillance. However, most existing methods focus on …
Group re-identification via unsupervised transfer of sparse features encoding
Person re-identification is best known as the problem of associating a single person that is
observed from one or more disjoint cameras. The existing literature has mainly addressed …
observed from one or more disjoint cameras. The existing literature has mainly addressed …