Human detection in surveillance videos and its applications - a review

Paul, Manoranjan and Haque, Shah M. E. and Chakraborty, Subrata (2013) Human detection in surveillance videos and its applications - a review. EURASIP Journal on Advances in Signal Processing, 1 (176). pp. 1-16. ISSN 1687-6172

[img]
Preview
Text (Published Version)
Human detection in surveillance videos and its applications-a review.pdf
Available under License Creative Commons Attribution.

Download (664Kb) | Preview

Abstract

Detecting human beings accurately in a visual surveillance system is crucial for diverse application areas including abnormal event detection, human gait characterization, congestion analysis, person identification, gender classification and fall detection for elderly people. The first step of the detection process is to detect an object which is in motion. Object detection could be performed using background subtraction, optical flow and spatio-temporal filtering techniques. Once detected, a moving object could be classified as a human being using shape-based, texture-based or motion-based features. A comprehensive review with comparisons on available techniques for detecting human beings in surveillance videos is presented in this paper. The characteristics of few benchmark datasets as well as the future research directions on human detection have also been discussed.


Statistics for USQ ePrint 27914
Statistics for this ePrint Item
Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published version made available in accordance with Creative Commons Attribution License 2.0.
Faculty / Department / School: Current - Faculty of Business, Education, Law and Arts - School of Management and Enterprise
Date Deposited: 24 May 2016 06:00
Last Modified: 27 Mar 2017 03:35
Uncontrolled Keywords: abnormal event detection; human action recognition; pedestrian detection; object detection; gender classification; surveillance video; pedestrian detection system; object detection technique; fall detection
Fields of Research : 08 Information and Computing Sciences > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1186/1687-6180-2013-176
URI: http://eprints.usq.edu.au/id/eprint/27914

Actions (login required)

View Item Archive Repository Staff Only