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| Angel Sanchez, Pedro D. Suarez, Aura Conci, Eldman Nunes, "Video-Based Distance Traffic Analysis: Application to Vehicle Tracking and Counting," Computing in Science and Engineering, vol. 13, no. 3, pp. 38-45, May/June, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/MCSE.2010.143, author = {Angel Sanchez and Pedro D. Suarez and Aura Conci and Eldman Nunes}, title = {Video-Based Distance Traffic Analysis: Application to Vehicle Tracking and Counting}, journal ={Computing in Science and Engineering}, volume = {13}, number = {3}, issn = {1521-9615}, year = {2011}, pages = {38-45}, doi = {http://doi.ieeecomputersociety.org/10.1109/MCSE.2010.143}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - Computing in Science and Engineering TI - Video-Based Distance Traffic Analysis: Application to Vehicle Tracking and Counting IS - 3 SN - 1521-9615 SP38 EP45 EPD - 38-45 A1 - Angel Sanchez, A1 - Pedro D. Suarez, A1 - Aura Conci, A1 - Eldman Nunes, PY - 2011 KW - Machine learning KW - heuristic methods KW - edge and feature detection KW - object recognition KW - applications KW - computer vision KW - video analysis KW - transportation KW - knowledge modeling KW - intelligent systems KW - feature representation VL - 13 JA - Computing in Science and Engineering ER - | |||
Imaging hardware and video processing techniques offer advantages for traffic monitoring and surveillance. As these experiments show, using appropriate road and vehicle modeling and strong vehicle detection and tracking algorithms offers a good trade-off between correct dynamic vehicle identification and a real-time frame rate. Further, heuristic rules can help analyze and solve difficult traffic situations.
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