@inproceedings{07dc92fa66954bc6a439d5b2faed5d72,
title = "Vehicle Detection for Traffic Flow Analysis",
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.",
keywords = "Video analysis, vehicle detection, tracking, blob analysis, optical flow, background extraction, foreground extraction",
author = "Soodamani Ramalingam and Vimal Varsani",
note = "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. {\textcopyright} IEEE 2016.; 50th IEEE International Conference Conference on Security Technology ; Conference date: 24-10-2016 Through 27-10-2016",
year = "2017",
month = jan,
day = "16",
doi = "10.1109/CCST.2016.7815693",
language = "English",
series = "Security Technology",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
booktitle = "IEEE International Carnahan Conference on Security Technology",
address = "United States",
}