scholarly journals Collaborative Multi-Camera Surveillance with Automated Person Detection

2006 ◽  
Author(s):  
T. Ahmedali ◽  
J.J. Clark
Keyword(s):  
Person Detection ◽  
Camera Surveillance

Boosting self-worth to buffer the effects of ostracism on person-detection

2014 ◽  
Author(s):  
Jamie L. Gorman ◽  
Kent D. Harber ◽  
Maggie Shiffrar ◽  
Karen Quigley
Keyword(s):  
Person Detection ◽  
Self Worth

Improving person re-identification performance by customized dataset and person detection

2019 ◽  
Vol 2019 (11) ◽  
pp. 268-1-268-9
Author(s):  
Herman G.J Groot ◽  
Egor Bondarev ◽  
Peter H.N. de With
Keyword(s):  
Identification Performance ◽  
Person Detection

A unified framework for automated person re-indentification

2020 ◽  
Vol 71 (7) ◽  
pp. 868-880
Author(s):  
Nguyen Hong-Quan ◽  
Nguyen Thuy-Binh ◽  
Tran Duc-Long ◽  
Le Thi-Lan
Keyword(s):  
Deep Learning ◽  
Video Analysis ◽  
Camera Network ◽  
Unified Framework ◽  
Person Detection ◽  
Practical Applications ◽  
Detection And Tracking ◽  
Analysis System ◽  
Bounding Boxes

Along with the strong development of camera networks, a video analysis system has been become more and more popular and has been applied in various practical applications. In this paper, we focus on person re-identification (person ReID) task that is a crucial step of video analysis systems. The purpose of person ReID is to associate multiple images of a given person when moving in a non-overlapping camera network. Many efforts have been made to person ReID. However, most of studies on person ReID only deal with well-alignment bounding boxes which are detected manually and considered as the perfect inputs for person ReID. In fact, when building a fully automated person ReID system the quality of the two previous steps that are person detection and tracking may have a strong effect on the person ReID performance. The contribution of this paper are two-folds. First, a unified framework for person ReID based on deep learning models is proposed. In this framework, the coupling of a deep neural network for person detection and a deep-learning-based tracking method is used. Besides, features extracted from an improved ResNet architecture are proposed for person representation to achieve a higher ReID accuracy. Second, our self-built dataset is introduced and employed for evaluation of all three steps in the fully automated person ReID framework.

scholarly journals Performance analysis for automated gait extraction and recognition in multi-camera surveillance

2009 ◽  
Vol 50 (1) ◽  
pp. 75-94 ◽  
Author(s):  
Michela Goffredo ◽  
Imed Bouchrika ◽  
John N. Carter ◽  
Mark S. Nixon
Keyword(s):  
Performance Analysis ◽  
Camera Surveillance

Estimation of hand hygiene opportunities on an adult medical ward using 24-hour camera surveillance: Validation of the HOW2 Benchmark Study

2014 ◽  
Vol 42 (6) ◽  
pp. 602-607 ◽  
Author(s):  
Thomas Diller ◽  
J. William Kelly ◽  
Dawn Blackhurst ◽  
Connie Steed ◽  
Sue Boeker ◽  
...  
Keyword(s):  
Hand Hygiene ◽  
Medical Ward ◽  
Benchmark Study ◽  
Camera Surveillance
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