A Survey on Traffic Monitoring and Counting |
Author(s): |
| Chinchu Mariam Raju , MBCCET,Peermade,Idukki; Bintomol Baby, MBCCET, Peermade |
Keywords: |
| Visual Surveillance, Computer Vision, Background Subtraction, Vehicle Counting |
Abstract |
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Cameras are becoming an inevitable factor in modern transportation infrastructure due to their low cost, ease of maintenance, and the wealth of information they provide about traffic conditions. As manual observation of video from large camera networks is complex and inefficient, efforts have concentrated on devising automated systems to monitor traffic. Automatic video analysis from urban surveillance cameras is thus a fast-emerging field based on computer vision techniques. Video detection has become an efficient technique support for collecting parameters of urban traffic. Currently, there are so many ways to get the real time traffic information. But, sometimes these may not produce accurate results on vehicle counting in different challenging situations, such as low-resolution videos, rainy scenes, and situations of stop-and-go traffic. In this paper, we conduct a deep study about this problem and its solutions. |
Other Details |
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Paper ID: IJSRDV6I20481 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 2492-2493 |
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