移动设备中的实时汽车检测和跟踪

2012 International Conference on Connected Vehicles and Expo (ICCVE) Pub Date : 2012-12-12 DOI:10.1109/ICCVE.2012.53

A. Acharya, Jangwon Lee, An Chen

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引用次数: 6

摘要

本文介绍了一种可用于带有摄像头的移动设备(如手机、平板电脑等)的实时汽车检测与跟踪系统。底层检测器使用AdaBoost的变体实现[5]，跟踪器基于Lucas-Kanade光流算法构建。这项工作的独特之处在于框架的简单性和可移植性，可以在不需要太多计算的情况下实时帮助驾驶员。

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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Real Time Car Detection and Tracking in Mobile Devices

The paper presents a real time car detection and tracking system that can be used in a mobile device equipped with a camera (e.g. handset, tablet etc.). The underlying detector is implemented using a variant of the AdaBoost [5], and the tracker is built on Lucas-Kanade optical flow algorithm. The uniqueness of the work lies in the simplicity and the portability of the framework that can assist drivers in real time without much computation effort.

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2012 International Conference on Connected Vehicles and Expo (ICCVE)

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