University of Hertfordshire

By the same authors

Vehicle Detection for Traffic Flow Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Documents

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Original languageEnglish
Title of host publicationIEEE International Carnahan Conference on Security Technology
Subtitle of host publicationICCST2016
Place of PublicationUS
PublisherIEEE
Number of pages8
ISBN (Electronic)978-1-5090-1072-1/16/$31.00 ©2016 IEEE
DOIs
Publication statusPublished - 16 Jan 2017
Event50th IEEE International Conference Conference on Security Technology - US, Orlando, Florida, United States
Duration: 24 Oct 201627 Oct 2016

Publication series

NameSecurity Technology
PublisherIEEE
ISSN (Electronic)2153-0742

Conference

Conference50th IEEE International Conference Conference on Security Technology
CountryUnited States
CityOrlando, Florida
Period24/10/1627/10/16

Abstract

This paper looks at some of the algorithms that can be used for effective detection and tracking of vehicles, in particular for statistical analysis. The main methods for tracking discussed and implemented are blob analysis, optical flow and foreground detection. A further analysis is also done testing two of the techniques using a number of video sequences that include different levels of difficulties.

Notes

Soodamani, R & Varsani, V (2016), Vehicle Detection for Traffic Flow Analysis, ICCST2016, Paper presented at the IEEE International Carnahan Conference on Security Technology, 24-27 October 2016, Orlando, Florida. This document is the Accepted Manuscript version. The Version of Record, published in Security Technology (ICCST), 2016 is available online at IEEE Xplore: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7815693, doi: https://doi.org/10.1109/CCST.2016.7815693. © IEEE 2016.

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