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DCNN CCTV Apparatus for CCTV Video Analytics Based on Object-Image Recognition DCNN

机译:基于目标图像识别的DCNN CCTV视频分析CCTV装置

摘要

The present invention relates to an apparatus for analyzing a CCTV image based on an object image recognition DCNN. According to an embodiment of the present invention, the apparatus for analyzing a CCTV image based on an object image recognition DCNN includes: an image conversion unit receiving a plurality of video frame images provided by a video providing apparatus and converting the received video frame images into a format for reducing the load of image processing; and a motion-based image analyzing unit extracting object images of a plurality of tracking objects for motion tracking from the video frame images converted into the format, applying the extracted object images to a DCNN using an object image recognition method to classify the plurality of tracking objects based on a result of the application, and detecting an event based on a designated rule and information on tracking of objects, in which a user is interested, obtained by removing, from the classified tracking objects, wherein the objects, in which the user is not interested, are identified as being deviating from designation criteria among the classified tracking objects. According to the present invention, accuracy for detecting objects is increased by using a DCNN-based image recognition technology to which deep learning is applied.
机译:基于物体图像识别DCNN的CCTV图像分析装置技术领域本发明涉及一种基于物体图像识别DCNN的CCTV图像分析装置。根据本发明的实施例,用于基于对象图像识别DCNN来分析CCTV图像的设备包括:图像转换单元,其接收由视频提供设备提供的多个视频帧图像,并将接收到的视频帧图像转换为一种减轻图像处理负担的格式;基于运动的图像分析单元,从转换为格式的视频帧图像中提取用于运动跟踪的多个跟踪对象的对象图像,并使用对象图像识别方法将提取的对象图像应用于DCNN,以对多个跟踪进行分类基于应用程序的结果的对象,并基于指定的规则和关于用户感兴趣的对象的跟踪信息检测事件,方法是从分类的跟踪对象中删除用户感兴趣的对象,其中不感兴趣,在分类的跟踪对象中被标识为偏离指定标准。根据本发明,通过使用被应用深度学习的基于DCNN的图像识别技术来提高用于检测对象的精度。

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