… Based on the above three problems, this paper proposes a joint face retrieval network
based on a new Quadruplet network in videos of multi-camera. A …

… a new attempt, using an improved quadruplet neural network named … In this paper, a
multi-camera face tracking system is … ‘Joint face representation adaptation and clustering in videos,…

… Govindaraju, “Person re-identification for improved multi-person multi-camera tracking by
continuous entity association,” in Proc. of the IEEE Conference on Computer Vision and …

… surveillance system in this paper focuses on video-based … , badge reader, face recognition
systems to provide alerts and … cameras by ID matching are jointly modeled to obtain the MCTs. …

… joint attribute-identity deep learning, which simultaneously learns attributed labels and identity
features across different … in this section is performed on video datasets to allow a proper …

… be considered, as opposed to multi-camera MOT, where a … [136] proposed the use of the
more complex Quad-CNN for their … The network was jointly trained with a classification task, in …

… methods address this problem by data association, which jointly … we will consult to the
video-based person ReID methods such as … -by-detection in multi-camera networks. In: 2012 Sixth …

… detecting objects because of the different video quality, lighting and viewing … network and
improves the recognition accuracy of the model. Wang et al. [100] used an identity-based joint …

… either complicated and expensive multi-camera setups or laborious … , and tested on a laptop
with a quad-core Intel Core i5 (2.30… Zhou, “Joint 3D face reconstruction and dense alignment …

… -world video surveillance, many tasks such as criminals search [1] and multi-camera tracking
[2… [44] enlarged the threesteam network to quadruplet network such that one more negative …