黄盒路口违章视频分析:需求、挑战与解决方案

Rami Alkhawaji, Mohamed H. Sedky, A. Soliman
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引用次数: 4

摘要

近年来,为了给智慧城市的公共交通带来更多的智能,人们进行了一系列的努力,以解决公共安全的交通管理、智能交通监控和拥堵管理等本质问题。本文采用视频分析技术和单摄像头和双摄像头(固定摄像头和PTZ摄像头)作为主从控制的交通监控模型,提出了解决黄盒路口违例的方法,以减少道路交通拥堵。本文重点介绍了交通管理系统设计中遇到的与计算机视觉相关的主要挑战。通过设计有效的特征提取、跟踪和识别算法,可以进一步提高系统的分类结果,从而提高交通管理水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Video analysis for Yellow Box Junction violation: Requirements, challenges and solutions
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.
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