一种用于汽车应用的基于智能视觉的车辆检测和跟踪系统

2011 IEEE International Conference on Consumer Electronics (ICCE) Pub Date : 2011-03-03 DOI:10.1109/ICCE.2011.5722490

Yi-Min Tsai, Chih-Chung Tsai, K. Huang, Liang-Gee Chen

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引用次数: 11

摘要

本文提出了一种基于计算机视觉技术的基于智能视觉的道路前车检测与跟踪系统。采用预处理视频防抖，提高了系统的可靠性和稳定性。通过基于机器学习的方法实现高性能检测。我们的框架适用于各种汽车应用，其远程检测率超过90%，中程跟踪成功率达到99.1%。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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An intelligent vision-based vehicle detection and tracking system for automotive applications

In this paper, we present an intelligent vision-based on-road preceding vehicle detection and tracking system based on computer vision techniques. Pre-processing video stabilization is adopted to improve system reliability and stability. High performance detection is achieved via the machine learning-based method. Our framework is favored for various automotive applications, which yields above 90% detection rate in long range and 99.1% tracking successful rate in middle range.

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来源期刊

2011 IEEE International Conference on Consumer Electronics (ICCE)

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