首页> 外国专利> Violence detection frameworking method and device using spatio-temporal characteristics analysis of deep planning-based shadow images

Violence detection frameworking method and device using spatio-temporal characteristics analysis of deep planning-based shadow images

机译:基于深度规划的阴影图像时空特征分析的暴力检测框架化方法和装置

摘要

PROBLEM TO BE SOLVED: To provide a frameworking method and apparatus for detecting violence from video. A violence detection frameworking method includes a first step, 2D, of extracting a two-dimensional (2D) -based luminance component Y image by removing color difference components U and V from one frame image included in an input image. The second stage and the 3D-based Y image group in which the base Y-images are sequentially accumulated in 3D (3D), and only the equally spaced frames are extracted to obtain a 3D (3D) -based Y image group. By including a third step of deriving a scene of violence detection by performing a video convolution using a 3 * 3 * 3 filter, the weight of the network and the time-space optimized video are included. It is made and applied to the algorithm, and the characteristic points of violence are continuously memorized and re-learned in a specific layer during the image convolution process. [Selection diagram] FIG.
机译:要解决的问题:提供一种用于从视频中检测暴力的框架化方法和设备。暴力检测构架方法包​​括第一步2D,该第一步是通过从输入图像中包括的一个帧图像中删除色差分量U和V来提取基于二维(2D)的亮度分量Y图像。第二阶段和基于3D的Y图像组,其中基本Y图像按顺序堆积在3D(3D)中,并且仅提取等距的帧以获得基于3D(3D)的Y图像组。通过包括通过使用3 * 3 * 3过滤器执行视频卷积来得出暴力检测场景的第三步,网络的权重和时空优化视频都包括在内。它被制作并应用于算法,并且在图像卷积过程中,暴力的特征点被连续地存储在特定的层中并重新学习。 [选择图]

著录项

  • 公开/公告号JP6668514B1

    专利类型

  • 公开/公告日2020-03-18

    原文格式PDF

  • 申请/专利权人 株式会社 ジーワイネットワークス;

    申请/专利号JP20190003768

  • 发明设计人 バン スンオン;

    申请日2019-01-11

  • 分类号G06T7;H04N7/18;G06T7/20;

  • 国家 JP

  • 入库时间 2022-08-21 11:33:50

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