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Real-time rear of vehicle detection from a moving camera

机译：通过移动摄像机实时检测车辆的后部

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摘要

Based on the requirement of real-time on road vehicle detection from a moving camera, a feature based rear of vehicle detection algorithm is developed. A Haar-like feature classifier is trained to capture the rear of vehicles from the video stream in real-time and a premier test is performed. Aiming at some issues found in the test, which include duplicated detection, false alarms, undetected objects and the failure of detecting distant object due to limited resolution, a revised algorithm is given. Some further tests and analyses indicate that the revised algorithm can effectively detect the rear of vehicles in real-time with complex background from a moving camera.
机译：基于实时对移动摄像机进行道路车辆检测的要求，开发了一种基于特征的车辆后方检测算法。经过训练的类似Haar的特征分类器可以从视频流中实时捕获车辆的后部，并执行主要测试。针对测试中发现的一些问题，包括重复检测，误报，未检测到物体以及由于分辨率有限而无法检测到远处物体的问题，给出了一种改进的算法。一些进一步的测试和分析表明，改进的算法可以有效地实时检测来自运动摄像机的具有复杂背景的车辆后部。

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