• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Intelligent Computing and Control Systems >Man-on-Man Brutality Identification on Video data using Haar Cascade Algorithm
【24h】

Man-on-Man Brutality Identification on Video data using Haar Cascade Algorithm

机译：使用Haar级联算法对视频数据进行人对人的残酷识别

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Fight detection is still an open quandary for video concept detection. There has been little prosperity in engendering an algorithm that can detect the fight in surveillance videos with high-performance values. The proposed methodology is called Haar Cascade. Firstly, motion vector images are trained by using a machine learning algorithm for the consecutive frames. Secondly, motion vector features are extracted to their angles and magnitudes. Afterwards, velocity and angle-based motion co-occurrence features are calculated by considering both current and past motion vectors. The result obtained using the proposed algorithm in different videos got a high rate of success. It discriminates fighting scenes with high true positive rates. By using this methodology, can eradicate violence, crime, fights, etc. This is helpful to reduce violence and make the way to detect fights happen also. While comparing to the existing project, this gives a high rate of detection.
机译：战斗检测仍然是视频概念检测的一个开放难题。产生能够检测具有高性能值的监视视频中的搏斗的算法的繁荣很少。所提出的方法称为Haar级联。首先，通过使用机器学习算法对连续帧进行运动矢量图像训练。其次，将运动矢量特征提取到其角度和大小。然后，通过考虑当前和过去的运动矢量来计算基于速度和角度的运动共现特征。使用提出的算法在不同的视频中获得的结果获得了很高的成功率。它以较高的真实肯定率来区分战斗场景。通过使用这种方法，可以消除暴力，犯罪，打架等情况。这有助于减少暴力，并有助于发现打架的方式。与现有项目相比，这可以提高检出率。

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