交通中的多车检测、识别与跟踪

S. S, Neelima Satheesh, K. V.
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引用次数: 6

摘要

多车检测、识别和跟踪是视频监控系统中发展最为迅速的图像处理系统之一。这样设计的目的是为了减少高速公路的交通拥堵,减少街道变形,识别犯罪现场的人,减少道路事故,车辆盗窃检测,生活区等。在当前的环境条件下,在视频序列中检测移动车辆的形状是非常困难的。为了克服这一问题的影响,本文提出了一些方法,如将视频转换成帧进行分割,然后对多辆车进行预处理和跟踪。本文简要介绍了多种汽车检测、识别和跟踪的方法。
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Multiple Car Detection, Recognition and Tracking in Traffic
Multiple Car detection, recognition and tracking is one of the most rapidly growing system in image processing used for video surveillance system. This has been designed with an intention to reduce the traffic congestion in highways, decrease street misshape, Identify people in crime scène, reduce road accidents, vehicle theft detection, living zone etc. Detecting the shape of an moving car in a video sequence is very difficult in the present environmental conditions. In order to overcome the effect of this problem, The paper proposed number of methods like video is converted into frames in segmentation then followed by preprocessing and tracking of multiple cars. This paper provides a brief about multiple car detection, recognition and tracking of approaches.
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