提出了智能视频监控中基于机器学习的自动人数统计系统。
The key problem of people counting system of video images is how to segment the overlapping people.
智能视频分析技术是智能视频监控的关键技术，是变被动监控为主动识别的核心所在。
Intelligent video analysis technology is the key technology of intelligent video surveillance, the core of changing passive surveillance into active identification.
智能视频监控可以智能地监控目标行为，检测非正常事件，有着重要的理论意义和应用价值。
Intelligent video surveillance system can watch behaviors of object intelligently and detect abnormal events, which has significance for theories and applications.
近年来，随着网络带宽、计算机处理能力和存储容量的迅速提高，智能视频监控技术应运而生。
In recent years, as network bandwidth, computer processing power and storage capacity of the rapid increase, the intelligent video surveillance technologies have emerged.
随着计算机网络技术和通信技术的飞速发展，基于网络的智能视频监控也受到越来越多的重视。
With the rapid development of computer network technology and communication technology, Web-based intelligent video monitoring system had been paid more and more attention.
随着计算机图像及视觉处理技术的飞速发展，智能视频监控逐渐成为备受关注的前沿课题之一。
With the rapid development of computer image and visual treatment technology, intelligent video surveillance gradually become one of the closely-watched foremost subjects.
智能视频监控能够广泛地应用于安防、交通管理、商业服务等众多领域，具有良好的市场前景。
Intelligent video surveillance is now extensively utilized in various areas like security, traffic control and business service, which enjoys a promising market prospect.
其中智能视频监控就是以视频压缩技术为核心，在视频压缩的过程中同时对视频序列进行智能检测。
Intelligent video Surveillance which is a video compression technology as the core, in the video compression in the course of the video sequence at the same time intelligent detection.
目标跟踪是智能视频监控中的关键技术，是目标识别和行为理解的基础，具有广泛的研究和应用价值。
In intelligent video surveillance, object tracking lends itself as the basis of object recognition and behavior analysis, and its performance influences the whole system directly.
视频运动目标检测与跟踪算法是计算机视觉领域的一个核心课题，也是智能视频监控系统的关键底层技术。
The detection and tracking algorithm of video motion objects is one of hotspots in the field of computer vision. It's also the key intelligent technology of video surveillance system.
在智能视频监控系统中，基于DSP平台的解决方案是在功耗、灵活性和性能开发成本上较为均衡的一种选择。
In the Intelligent Video Surveillance System, based on the DSP platform solutions in the power, flexibility and performance of development costs on a more balanced choice.
智能视频监控是计算机视觉领域一个新兴的应用方向。在某些环境中，一个事件可能同时出现在多个视频流中。
Intelligent video surveillance is a rising application direction in computer vision area in some condition, an event may occur in several video streams.
本文对智能视频监控的相关技术进行了探索和研究，重点对于视频监控中的目标识别和人脸匹配进行了研究和探讨。
In this paper, we explore and research intelligent video surveillance system with the relevant technology, focus on the object recognition and face matching in intelligent video surveillance system.
因此，复杂场景下的运动目标检测成为智能视频监控研究的热点和难点，对其的研究有着重要的理论意义和实用价值。
Therefore, Moving target detection is an important research focus in intelligent video surveillance under complex scene, its research has important theoretical significance and practical value.
智能视频监控系统是利用自动视频分析技术进行视频监控的技术，作为一种安防的有效手段，正越来越受到人们的重视。
The intelligent video supervise system is a video supervising technology adopts automatic video analysis technology. As an efficiency security means, it is been more and more cared about.
针对智能视频监控场合对视频运动目标定位的需求，本文提出了一种基于非参数核密度估计的视频运动目标空域定位技术。
To satisfy the need of video moving object locating in intelligent video surveillance scenes, video moving object locating technology based on nonparametric kernel density estimation is proposed.
随着社会公共安全需求的提高，智能视频监控技术正逐渐成为计算机视觉领域一个新兴的应用方向和备受关注的前沿课题。
With the increasing demand of social security, the technology of Intelligent Video Surveillance (IVS) is becoming one of new arising high-tech application fields.
视频序列中运动目标的跟踪是智能视频监控领域中的一项重要问题，目标跟踪就是建立视频序列的不同帧中目标的对应关系。
Object tracking in video sequence is an important work in intelligent video monitoring. Object tracking is finding relationship among objects in different frames of video sequence.
不同场景图像间的人目标匹配是智能视频监控研究中的一个难点问题，而融合多种特征进行匹配则是解决此问题的一种有效的方法。
Human matching across different fields of view is a difficult problem in the intelligent video surveillance; whereas fusing multiple features has become a strong tool to solve it.
视频监控系统在电信、银行、交通、电力、水利、石化、智能大厦等诸多领域有着广泛应用。
Video surveillance system has an abroad application in the area of telecom, bank, traffic, electric power, water conservancy, petroleum, intelligence building.
本文结合一个基于视频图像的智能野外监控系统的开发过程，提出了一种野外背景下运动目标的检测方法。
In this paper, we present a moving object detection method for outdoor background according to the development of an intelligent object monitoring and tracking system based on video images.
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Boyun micro intelligent, high-tech intelligent life experience! No matter when and where, you can control appliance and video surveillance through software, do wireless life, enjoy unlimited!
为了实现视频监控的智能化，文中最后探讨了一种基于视频序列象素时空相关性检测的运动目标检测算法。
In order to realize intellectuality of video monitoring, we finally discuss a kind of motion detection algorithm on the basis of video array space-time relativity in the article.
与其它检测手段相比，视频监控方式可以同时获得多种重要路况状态信息，有利于实现交通管理的智能化，具有很大的发展潜力。
Compared with other means, video surveillance can simultaneously collect various important traffic parameters, which profits to achieve intelligent traffic management, so it has a great potential.
使用该套装置，达到了智能识别、及时报警和实时的视频监控功能，对超高压输电线路的事故防范起到了极大的促进作用。
The device has the function of intelligence identify and online surveillance and gets the great effect to keep away accident of extra high voltage power line.
在用户主机端，管理员通过规 则管理软件设置监控规则，DM642按照所设规则对模拟摄像头和网络摄像头的视频图像进行 智能算法处理。
User can set the rules via the management software. The video input from analog cameras and IP cameras can be processed by DM642 according to the rules.
提出了一种将脸部和步态特征相结合，应用于智能监控系统进行远距离视频流中身份识别的新方法。
Focusing on the application of intelligent surveillance, this paper proposed a new approach in which the combination of face and gait was used for human recognition at a distance in video sequences.
提出了一种将脸部和步态特征相结合，应用于智能监控系统进行远距离视频流中身份识别的新方法。
Focusing on the application of intelligent surveillance, this paper proposed a new approach in which the combination of face and gait was used for human recognition at a distance in video sequences.
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