首页> 外文会议>International Workshop on Intelligent Computing in Pattern Analysis/Synthesis(IWICPAS 2006); 20060826-27; Xi'an(CN) >Approximate Vehicle Waiting Time Estimation Using Adaptive Video-Based Vehicle Tracking
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Approximate Vehicle Waiting Time Estimation Using Adaptive Video-Based Vehicle Tracking

机译:基于自适应视频跟踪的近似车辆等待时间估计

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摘要

During the last two decades, significant research efforts had been made in developing vision-based automatic traffic monitoring systems in order to improve driving efficiency and reduce traffic accidents. This paper presents a practical vehicle waiting time estimation method using adaptive video-based vehicle tracking method. Specifically, it is designed to deal with lower image quality, inappropriate camera positions, vague lane/road markings and complex driving scenarios. The spatio-temporal analysis is integrated with shape hints to improve performance. Experiment results show the effectiveness of the proposed approach.
机译:在过去的二十年中,在开发基于视觉的自动交通监控系统方面进行了大量研究工作,以提高驾驶效率并减少交通事故。本文提出了一种实用的基于自适应视频跟踪的车辆等待时间估计方法。特别是,它旨在处理较低的图像质量,不适当的摄像机位置,模糊的车道/道路标记以及复杂的驾驶场景。时空分析与形状提示集成在一起,以提高性能。实验结果表明了该方法的有效性。

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