Visual Big Data Analytics for Traffic Monitoring in Smart City

Singh, D and Vishnu, C and C, Krishna Mohan (2016) Visual Big Data Analytics for Traffic Monitoring in Smart City. In: 15th IEEE International Conference on Machine Learning and Applications (ICMLA), DEC 18-20, 2016, Anaheim, CA.

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The application such as video surveillance for traffic control in smart cities needs to analyze the large amount (hours/days) of video footage in order to locate the people who are violating the traffic rules. The traditional computer vision techniques are unable to analyze such a huge amount of visual data generated in real-time. So, there is a need for visual big data analytics which involves processing and analyzing large scale visual data such as images or videos to find semantic patterns that are useful for interpretation. In this paper, we propose a framework for visual big data analytics for automatic detection of bike-riders without helmet in city traffic. We also discuss challenges involved in visual big data analytics for traffic control in a city scale surveillance data and explore opportunities for future research.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Visual Big Data Analytics; Smart City; Traffic Control; Machine Learning
Subjects: Computer science > Big Data Analytics
Divisions: Department of Computer Science & Engineering
Depositing User: Team Library
Date Deposited: 23 Jun 2017 05:14
Last Modified: 01 Sep 2017 09:16
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