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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/5601
Title: Trajectory-Based Surveillance Analysis: A Survey
Authors: Ahmed S.A.
Dogra D.P.
Kar S.
Pratim Roy, Partha
Published in: IEEE Transactions on Circuits and Systems for Video Technology
Abstract: Due to the advancement of camera hardware and machine learning techniques, video object tracking for surveillance has received noticeable attention from the computer vision research community. Object tracking and trajectory modeling have important applications in surveillance video analysis. For example, trajectory clustering, summarization or synopsis generation, and detection of anomalous or abnormal events in videos are mainly being exploited by the research community. However, barring one research work (which is almost a decade old), there is no recent review that emphasizes the use of video object trajectories, particularly in the perspective of visual surveillance. This paper presents a survey of trajectory-based surveillance applications with a focus on clustering, anomaly detection, summarization, and synopsis generation. The methods reviewed in this paper broadly summarize the abovementioned applications. The main purpose of this survey is to summarize the state-of-the-art video object trajectory analysis techniques used in the indoor and outdoor surveillance. © 1991-2012 IEEE.
Citation: IEEE Transactions on Circuits and Systems for Video Technology (2019), 29(7): 1985-1997
URI: https://doi.org/10.1109/TCSVT.2018.2857489
http://repository.iitr.ac.in/handle/123456789/5601
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: anomaly detection
Surveillance video analysis
trajectory analysis
video summarization
video synopsis
ISSN: 10518215
Author Scopus IDs: 57190343458
35408975400
55808071612
56880478500
Author Affiliations: Ahmed, S.A., Department of Mathematics, NIT Durgapur, Durgapur, 713209, India
Dogra, D.P., School of Electrical Sciences, IIT Bhubaneswar, Bhubaneswar, 751013, India
Kar, S., Department of Mathematics, NIT Durgapur, Durgapur, 713209, India
Roy, P.P., Department of Computer Science and Engineering, IIT Roorkee, Roorkee, 247667, India
Corresponding Author: Ahmed, S.A.; Department of Mathematics, NIT DurgapurIndia; email: arif.1984.in@ieee.org
Appears in Collections:Journal Publications [CS]

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