Vehicle Detection for Traffic Flow Analysis

Ramalingam, Soodamani and Varsani, Vimal (2017) Vehicle Detection for Traffic Flow Analysis. In: IEEE International Carnahan Conference on Security Technology : ICCST2016. Security Technology . Institute of Electrical and Electronics Engineers (IEEE), USA. ISBN 978-1-5090-1072-1/16/$31.00 ©2016 IEEE
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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.
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Additional information 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.
Keywords video analysis, vehicle detection, tracking, blob analysis, optical flow, background extraction, foreground extraction
Date Deposited 15 May 2025 16:37
Last Modified 30 May 2025 23:15

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