...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Electronics Letters >Violent activity detection with transfer learning method
【24h】

Violent activity detection with transfer learning method

机译：迁移学习法进行暴力活动检测

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Although action recognition is a widely studied field in computer vision, the recognitions of aggressive activities and crowd violence actions are comparatively less studied. Nowadays, so many surveillance cameras have been installed in the streets and there is a demand for intelligent crowd activity detection systems. A method for violence detection in videos is proposed. The primary contribution is a novel transfer learning-based violence detector that gives promising results compared with the existing detectors. First, the optical flows of the input videos are computed via Lucas-Kanade method. Then, several 2D templates are constructed with overlapping optical flow magnitudes and orientations. These templates are supplied to a pre-trained convolutional neural network as input and deep features of different layers are extracted. Cubic kernel support vector machine and subspace -nearest neighbours classifiers are trained for prediction and the proposed method is tested with three different datasets that commonly used in violence detection studies.
机译：尽管动作识别是计算机视觉中一个广泛研究的领域，但对侵略性活动和人群暴力行为的识别研究相对较少。如今，街头已经安装了许多监控摄像头，因此需要智能人群活动检测系统。提出了一种用于视频中暴力检测的方法。主要贡献是一种新颖的基于迁移学习的暴力检测器，与现有检测器相比，该检测器可提供令人鼓舞的结果。首先，通过Lucas-Kanade方法计算输入视频的光流。然后，用重叠的光流大小和方向构造几个2D模板。这些模板被提供给预训练的卷积神经网络，作为输入并提取不同层的深层特征。对立方核支持向量机和子空间最近邻分类器进行了预测训练，并使用暴力检测研究中常用的三个不同数据集对提出的方法进行了测试。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号