| 1. | New video detection method for traffic flow
一种新的交通流视频检测方法 |
| 2. | Optimization algorithm of background extraction in traffic video detection system
交通视频检测系统中背景提取的优化算法 |
| 3. | Background extraction model and shadow detection algorithm in traffic flow video detection
交通流视频检测中背景模型与阴影检测算法 |
| 4. | Based on the specific technology and the understanding of the hardware and algorithm of the image system , the thesis gives a complete video detection system design , which is used for vehicle velocity supervision on the highway management
在借鉴国内外相关技术的基础上，结合对图像硬件平台和图像处理算法的理解和分析，提出了一套在实际中可以应用于高速公路超速车辆监控的视频检测方案。 |
| 5. | It first provides the background information of the video detection of traffic flow and vehicle recognition system , as well as the current research and application of this technology in our country and abroad , showing the significance and the prospect of this system
论文首先介绍了视频交通流检测和车辆识别系统的研究背景，以及国内国外的研究、应用现状，给出了这项研究的重要意义和前景。 |
| 6. | At present , researching into the technology of video detection of traffic flow and vehicle recognition is of great significance to improving the level of scientific management of city traffic in our country and promoting the modernization of road traffic construction
开展视频交通监测技术的研究，对于提高我国视频监测技术水平，促进城市道路建设，实现城市交通管理智能化都具有十分重要的现实意义。 |
| 7. | Finally , it presents the design of video detection of traffic flow and vehicle recognition system . by adopting visual c + + 6 . 0 , matlab 5 . 2 , power builder 6 . 0 , and sybase database as the software platform to develop this system , it has realized part of the major functions of this system
最后，介绍了视频交通流检测和车辆识别系统的设计思想，并采用visualc + + 6 . 0 、 matlab5 . 2 、 powerbuilder6 . 0和sybase数据库为软件开发平台，实现了系统的部分主要功能。 |
| 8. | Taking up the task of designing and realizing video detection of traffic flow and vehicle recognition system based on the technology of video and image processing , this thesis researches into the technology of monitoring traffic flow and traffic condition by means of video detection and recognition
本文以视频和图象处理技术为依托，以“视频交通流检测和车辆识别系统的设计与实现”为课题，对视频交通流和交通状况监测技术中的图象处理与识别技术进行了研究。 |
| 9. | This text introduces a kind of video detecting technique that can be used extensively in video matrix system , its principle is to detect intensity of the signal of the video and synchronous information through the module of video detection in real time , and send the data to host computer of matrix system through rs232 communication for feedback , thus matrix system can get video quality information of cameras in the control - range in real time , then can make relevant decisions
摘要介绍一种在视频矩阵系统中可以广泛应用的视频检测技术，其原理是视频检测模块对视频信号的强度和同步信息进行实时检测，然后再将检测后的数据通过rs232通讯反馈到矩阵系统的主机，从而矩阵系统就能够实时获取所监控范围内各摄像机的视频质量信息，进而可以作出相关决策。 |
| 10. | This thesis firstly describes the history of the development of technology of video image processing and its applications , and then surveys the technology widely used in intelligent transportation system , especially focuses on the video detection technology , which is used for traffic information collection . contrasted with some other ways on traffic information collection , this method has obvious advantages
本文首先简要地叙述了视频图像检测技术的发展历史及其广泛的应用领域，然后具体的介绍了它在智能交通系统当中的应用情况，并着重分析了视频检测技术在交通流量信息采集方面的应用，比较分析了它相对于其它交通信息采集方法所具有的优势。 |
