Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/ICMLA.2016.177 | 2016 15TH IEEE INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND APPLICATIONS (ICMLA 2016) |
Keywords | Field | DocType |
Visual Big Data Analytics, Smart City, Traffic Control, Machine Learning | Data science,Computer science,Visualization,Feature extraction,Smart city,Analytics,Big data,Cloud computing | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dinesh Singh | 1 | 31 | 2.49 |
| C. Vishnu | 2 | 0 | 0.34 |
| C. Krishna Mohan | 3 | 124 | 17.83 |