Human detection in surveillance videos and its applications - a review

Article


Paul, Manoranjan, 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. https://doi.org/10.1186/1687-6180-2013-176
Article Title

Human detection in surveillance videos and its applications - a review

ERA Journal ID4413
Article CategoryArticle
AuthorsPaul, Manoranjan (Author), Haque, Shah M. E. (Author) and Chakraborty, Subrata (Author)
Journal TitleEurasip Journal on Advances in Signal Processing
Journal Citation1 (176), pp. 1-16
Number of Pages16
Year2013
Place of PublicationGermany
ISSN0941-0635
1110-8657
1687-6172
1687-6180
Digital Object Identifier (DOI)https://doi.org/10.1186/1687-6180-2013-176
Web Address (URL)http://link.springer.com/article/10.1186/1687-6180-2013-176
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.

Keywordsabnormal event detection; human action recognition; pedestrian detection; object detection; gender classification; surveillance video; pedestrian detection system; object detection technique; fall detection
ANZSRC Field of Research 2020460306. Image processing
Byline AffiliationsCharles Sturt University
Institution of OriginUniversity of Southern Queensland
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