| Title |
Video Analysis for Yellow Box Junction Violation: Requirements, Challenges and Solutions |
| ID_Doc |
44036 |
| Authors |
Alkhawaji, R; Sedky, M; Soliman, AH |
| Title |
Video Analysis for Yellow Box Junction Violation: Requirements, Challenges and Solutions |
| Year |
2016 |
| Published |
|
| DOI |
|
| Abstract |
in recent years, a series of efforts have been undertaken in order to bring more intelligence to the public transportations of smart cities to solve essential problems like traffic management for public safety, smart traffic monitoring and congestion management. In this paper, we propose solutions for the Yellow Box Junction violation in order to reduce traffic congestion on roads by using video analytic techniques and a model for traffic monitoring using a single and dual camera (Fixed and PTZ Camera) as master-slave control. This paper highlights the major challenges related to computer vision which are encountered in the design of traffic management systems. Further enhancement in traffic management can be done by designing efficient feature extraction, tracking and recognition algorithms that can help in improving the classification results of the proposed system. |
| Author Keywords |
Video Analysis; Smart City; Yellow Box Junction; Video tracking |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000392263700125 |
| WoS Category |
Engineering, Electrical & Electronic |
| Research Area |
Engineering |
| PDF |
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