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Vehicle Detection and Tracking for Traffic Surveillance Applications: A Review Paper

Anshul Vishwakarma1 , Amit Khare2

Section:Review Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 721-724, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.721724

Online published on Jul 31, 2018

Copyright © Anshul Vishwakarma, Amit Khare . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Anshul Vishwakarma, Amit Khare, “Vehicle Detection and Tracking for Traffic Surveillance Applications: A Review Paper,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.721-724, 2018.

MLA Style Citation: Anshul Vishwakarma, Amit Khare "Vehicle Detection and Tracking for Traffic Surveillance Applications: A Review Paper." International Journal of Computer Sciences and Engineering 6.7 (2018): 721-724.

APA Style Citation: Anshul Vishwakarma, Amit Khare, (2018). Vehicle Detection and Tracking for Traffic Surveillance Applications: A Review Paper. International Journal of Computer Sciences and Engineering, 6(7), 721-724.

BibTex Style Citation:
@article{Vishwakarma_2018,
author = {Anshul Vishwakarma, Amit Khare},
title = {Vehicle Detection and Tracking for Traffic Surveillance Applications: A Review Paper},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {721-724},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2500},
doi = {https://doi.org/10.26438/ijcse/v6i7.721724}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.721724}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2500
TI - Vehicle Detection and Tracking for Traffic Surveillance Applications: A Review Paper
T2 - International Journal of Computer Sciences and Engineering
AU - Anshul Vishwakarma, Amit Khare
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 721-724
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

Immediately Automatic video analysis from traffic surveillance cameras is a fast-emerging field based on computer vision techniques. It is a key technology to public safety, intelligent transport system (ITS) and for efficient management of traffic. An accurate and efficient tracking capability at the heart of such a system is essential for building higher level vision-based intelligence. Tracking is not a trivial task given the non-deterministic nature of the subjects, their motion, and the image capture process itself. The task of reliably detecting and tracking moving objects in surveillance video, which forms a basis for higher level intelligence applications, has many open questions. In this paper, we present an overview of the state of vehicle detection and tracking techniques and describes the different terminology to produce specification according need of current generation.

Key-Words / Index Term

Vehicle Detection, Video Surveillance, Object Recognition, Intelligent Traffic, Object Tracking

References

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