Performance analysis of vehicle detection techniques: A concise survey

Adnan Hanif, Atif Bin Mansoor, Ali Shariq Imran

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)

Abstract

Attention towards Intelligent Transportation System (ITS) has increased manifold especially due to prevailing security situation in the past decade. An integral part of ITS is video-based surveillance systems extracting real-time traffic parameters such as vehicle counting, vehicle classification, vehicle velocity etc. using stationary cameras installed on road sides. In all these systems, robust and reliable detection of vehicles is significantly a critical step. Since, several vehicle detection techniques exist, evaluating these techniques with respect to different environment conditions and application scenarios will give a better choice for actual deployment. The paper presents a concise survey of vehicle detection techniques used in diverse applications of video-based surveillance systems. Moreover, three main detection algorithms; Gaussian Mixture Model (GMM), Histogram of Gradients (HoG), and Adaptive motion Histograms based vehicle detection are implemented and evaluated for performance under varying illumination, traffic density and occlusion conditions. The survey provides a ready-reference for preferred vehicle detection technique under different applications.

Original languageEnglish
Title of host publicationTrends and Advances in Information Systems and Technologies
EditorsLuis Paulo Reis, Alvaro Rocha, Sandra Costanzo, Hojjat Adeli
Place of PublicationAustria
PublisherSpringer-Verlag Wien
Pages491-500
Number of pages10
ISBN (Print)9783319777115
DOIs
Publication statusPublished - 1 Jan 2018
Event6th World Conference on Information Systems and Technologies, WorldCIST 2018 - Naples, Italy
Duration: 27 Mar 201829 Mar 2018

Publication series

NameAdvances in Intelligent Systems and Computing
Volume746
ISSN (Print)2194-5357

Conference

Conference6th World Conference on Information Systems and Technologies, WorldCIST 2018
CountryItaly
CityNaples
Period27/03/1829/03/18

Fingerprint

Real time systems
Lighting
Cameras

Cite this

Hanif, A., Mansoor, A. B., & Imran, A. S. (2018). Performance analysis of vehicle detection techniques: A concise survey. In L. P. Reis, A. Rocha, S. Costanzo, & H. Adeli (Eds.), Trends and Advances in Information Systems and Technologies (pp. 491-500). (Advances in Intelligent Systems and Computing; Vol. 746). Austria: Springer-Verlag Wien. https://doi.org/10.1007/978-3-319-77712-2_46
Hanif, Adnan ; Mansoor, Atif Bin ; Imran, Ali Shariq. / Performance analysis of vehicle detection techniques : A concise survey. Trends and Advances in Information Systems and Technologies. editor / Luis Paulo Reis ; Alvaro Rocha ; Sandra Costanzo ; Hojjat Adeli. Austria : Springer-Verlag Wien, 2018. pp. 491-500 (Advances in Intelligent Systems and Computing).
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Hanif, A, Mansoor, AB & Imran, AS 2018, Performance analysis of vehicle detection techniques: A concise survey. in LP Reis, A Rocha, S Costanzo & H Adeli (eds), Trends and Advances in Information Systems and Technologies. Advances in Intelligent Systems and Computing, vol. 746, Springer-Verlag Wien, Austria, pp. 491-500, 6th World Conference on Information Systems and Technologies, WorldCIST 2018, Naples, Italy, 27/03/18. https://doi.org/10.1007/978-3-319-77712-2_46

Performance analysis of vehicle detection techniques : A concise survey. / Hanif, Adnan; Mansoor, Atif Bin; Imran, Ali Shariq.

Trends and Advances in Information Systems and Technologies. ed. / Luis Paulo Reis; Alvaro Rocha; Sandra Costanzo; Hojjat Adeli. Austria : Springer-Verlag Wien, 2018. p. 491-500 (Advances in Intelligent Systems and Computing; Vol. 746).

Research output: Chapter in Book/Conference paperConference paper

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Hanif A, Mansoor AB, Imran AS. Performance analysis of vehicle detection techniques: A concise survey. In Reis LP, Rocha A, Costanzo S, Adeli H, editors, Trends and Advances in Information Systems and Technologies. Austria: Springer-Verlag Wien. 2018. p. 491-500. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-77712-2_46