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.
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.
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.
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.
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