Traffic Event Detection using Computer Vision
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 3
Abstract
Abstract: To make sure that the vehicles on road follow traffic rules, lane disciplines and traffic signals, it takes a lot of human effort and precious time. An automated system which is coupled with traffic cameras can help in this monitoring process. Haar-like features is one of the best techniques that can be used for detecting the objects within images/video feed from the traffic cameras. This process includes the subtasks of data collection, negative positive separation, creating training samples, creating description files, haar training and a strong action program which can detect vehicles and the traffic events. Hence alerting the monitoring authority to take care of the situation and make sure that the traffic events handled carefully. For experimental purpose one can train their database for few vehicles but a more robust database and a robust detection program can produce a great performance results.
Authors and Affiliations
Ramesh Navi , Aruna M. G.
Keywords
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- EP ID EP131754
- DOI 10.9790/0661-16322532
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