In this section, we present an improved video-based vehicle detection process.
在这一部分，本文提出了一种改进的基于视频的车辆检测流程。
The background subtraction is an important approach in video-based vehicle detection.
背景差法是一种重要的视频车辆检测方法。
Shadows result from roadside building or trees are one of the factors that arise errors in video based vehicle detection.
但是由路边建筑、树木引起的阴影，是导致车辆检测错误的一大主要因素。
Vehicle detection method based video and traffic flow detection system based fictitious loop are studied in details.
本文详细地研究了车辆目标的视频检测方法和基于虚拟线圈的交通流量检测系统。
It is important to extract RIO(region of interest) in vehicle detection system based on video image.
在基于视频图像方法的车辆检测系统中，兴趣区域的提取是至关重要的。
This thesis presents a method of vehicle flow and vehicle speed detection based on video and image processing.
本文提出一种基于计算机视觉的车流量及车速的检测算法。
Passive shadows resulted from roadside buildings or trees and active shadows caused by moving vehicles, are one of the factors that arise errors in video based vehicle detection.
在基于视频图像的交通监视系统中，由路边建筑、树木等物体引起的静态阴影和由运动物体如车辆引起的运动阴影，是导致车辆检测错误的一大主要因素。
Then we compared several of video based vehicle detection algorithms in detail.
在此基础上，对各种基于视频的车辆检测算法分别进行分析比较。
Then we introduced several of video based vehicle detection algorithms in detail and compared their performance.
在此基础上，对各种基于视频的车辆检测算法分别进行了详细介绍，并给出了它们的性能比较。
This paper presents a video-based urban traffic flow detection system and a novel vehicle recognition algorithm.
介绍了一种城市交通流量视频检测系统及其车辆识别新算法。
The main contents of this paper are organized as follows: 1, Vehicle detection based on video sequence.
本文主要包括的研究工作如下：1、基于视频序列的车辆检测。
The main contents of this paper are organized as follows: 1, Vehicle detection based on video sequence.
本文主要包括的研究工作如下：1、基于视频序列的车辆检测。
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