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Automatic recognition of suspicious activity for camera based security systems

机译:自动识别基于摄像头的安全系统中的可疑活动

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We present a digital processing based method of intruder detection. CCTV (Closed Circuit Television) camera images are processed and analysed. An object detection algorithm is used to determine whether a camera image contains a possible intruder, while further feature extraction processing can isolate the image containing any possible intruder for further analysis. An artificial intelligence based approach is used for analysing processed images. A technique for the detection and identification of postures is performed. The methods used are described along with the results obtained. Conclusions are drawn and proposals for commercial exploitation are made.
机译:我们提出了一种基于数字处理的入侵者检测方法。 CCTV(闭路电视)摄像机图像经过处理和分析。对象检测算法用于确定摄像机图像是否包含可能的入侵者,而进一步的特征提取处理可以隔离包含任何可能的入侵者的图像以进行进一步分析。基于人工智能的方法用于分析处理后的图像。执行用于检测和识别姿势的技术。描述了所使用的方法以及获得的结果。得出结论并提出商业开发建议。

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