Traffic Incident Detection using Cameras

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2018-01-01
Authors
Bansal, Nikhil
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Dr. Anuj Sharma
Dr. Samik Basu
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Computer Science

Computer Science—the theory, representation, processing, communication and use of information—is fundamentally transforming every aspect of human endeavor. The Department of Computer Science at Iowa State University advances computational and information sciences through; 1. educational and research programs within and beyond the university; 2. active engagement to help define national and international research, and 3. educational agendas, and sustained commitment to graduating leaders for academia, industry and government.

History
The Computer Science Department was officially established in 1969, with Robert Stewart serving as the founding Department Chair. Faculty were composed of joint appointments with Mathematics, Statistics, and Electrical Engineering. In 1969, the building which now houses the Computer Science department, then simply called the Computer Science building, was completed. Later it was named Atanasoff Hall. Throughout the 1980s to present, the department expanded and developed its teaching and research agendas to cover many areas of computing.

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1969-present

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Abstract

The number of road incidents have increased tremendously over past decade. The current methods to detect any incident are good but not efficient enough to detect the incidents on time which leads to higher travel times and inefficient use of transportation network. The aim of this project is to develop a robust and fast incident detection on a road. In the method explored, live images and videos are captured from the traffic cameras situated on various roads and highways. The images are used to detect congestion on the road and the videos are used to detect any stalled vehicle at the side of the road. The software also captures the time the incident started as well as the time it ended. A copy of the images and videos of detected incidents is stored separately for further analysis.

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Mon Jan 01 00:00:00 UTC 2018