Publication Type:

Conference Proceedings

Source:

2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS), IEEE, Coimbatore, India (2017)

URL:

https://ieeexplore.ieee.org/document/8014664/

Keywords:

automated surveillance systems, Bayes methods, biometric tracking, Biometrics (access control), Biometrie recognition, Cameras, detection, face, Face recognition, Feature extraction, Security, Surveillance, Surveillance cameras, Surveillance systems, Tracking, Ubiquitous computing, ubiquitous presence

Abstract:

Recently there has been a tremendous increase in the interest of the security of people and due to the ubiquitous presence of surveillance cameras and other similar systems, Automated surveillance systems have garnered widespread interest from the scientific community. Concomitantly, several advancements in the domain of biometrics have contributed to its pervasiveness in unrestricted environments. Although current systems are remarkable, they are far from impeccable and are limited by several conditions. In short, there is still vast scope for major improvements in our extant systems. In this survey, we strive to provide a comprehensive review of the present literature and to propose a better model that would aim to solve the present limitations.

Notes:

cited By 0; Conference of 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017 ; Conference Date: 6 January 2017 Through 7 January 2017; Conference Code:130103

Cite this Research Publication

V. Subramanian, Choudhary, B. S. D., and N. Lalithamani, “A Survey of Extant Surveillance Systems using Biometrie Tracking”, 2017 4th International Conference on Advanced Computing and Communication Systems (ICACCS). IEEE, Coimbatore, India, 2017.