IEEE Access Special Section Editorial: Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities

Sambit Bakshi; Guodong Guo; Hugo Proenca; Massimo Tistarelli

doi:10.1109/ACCESS.2019.2940175

IEEE Access (Jan 2019)

IEEE Access Special Section Editorial: Visual Surveillance and Biometrics: Practices, Challenges, and Possibilities

Sambit Bakshi,
Guodong Guo,
Hugo Proenca,
Massimo Tistarelli

Affiliations

Sambit Bakshi: National Institute of Technology Rourkela, Odisha, India
Guodong Guo: Department of Computer Science and Electrical Engineering, West Virginia University, Morgantown, WV, USA
Hugo Proenca: Department of Computer Science, IT: Instituto de Telecomunicações University of Beira Interior, Covilha, Portugal
Massimo Tistarelli: Computer Vision Laboratory, Universita di Sassari, Sassari, Italy

DOI: https://doi.org/10.1109/ACCESS.2019.2940175
Journal volume & issue: Vol. 7
pp. 137638 – 137641

Abstract

Read online

Visual surveillance is the latest paradigm for social security through machine intelligence. It includes the use of visual data captured by infrared sensors or visible-light cameras mounted in cars, corridors, traffic signals etc. Visual surveillance facilitates the classification of human behavior, crowd activity, and gesture analysis to achieve application-specific objectives.

Published in IEEE Access

ISSN: 2169-3536 (Online)
Publisher: IEEE
Country of publisher: United States
LCC subjects: Technology: Electrical engineering. Electronics. Nuclear engineering
Website: https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=6287639

About the journal