• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Machine Vision and Applications >Recognizing interactions between human performers by 'Dominating Pose Doublet'
【24h】

Recognizing interactions between human performers by 'Dominating Pose Doublet'

机译：通过“支配姿势双峰”识别表演者之间的互动

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

A graph theoretic approach is proposed to recognize interactions (e.g., handshaking, punching, etc.) between two human performers in a video. Pose descriptors corresponding to each performer in the video are generated and clustered to form initial codebooks of human poses. Compact codebooks of dominating poses for each of the two performers are created by ranking the poses of the initial codebooks using two different methods. First, an average centrality measure of graph connectivity is introduced where poses are nodes in the graph. The dominating poses are graph nodes sharing a close semantic relationship with all other pose nodes and hence are expected to be at the central part of the graph. Second, a novel similarity measure is introduced for ranking dominating poses. The 'pose doublets', all possible combinations of dominating poses of the two performers, are ranked using an improved centrality measure of a bipartite graph. The set of 'dominating pose doublets' that best represents the corresponding interaction are selected using the perceptual analysis technique. The recognition results on standard interaction datasets show the efficacy of the proposed approach compared to the state-of-the-art.
机译：提出了一种图形理论方法来识别视频中两个人类表演者之间的交互作用（例如，握手，打孔等）。对应于视频中每个表演者的姿势描述符被生成并聚类以形成人体姿势的初始码本。通过使用两种不同的方法对初始码本的姿态进行排名，可以创建两个表演者中每个人占主导地位的紧凑型码本。首先，介绍了图形连通性的平均中心度度量，其中姿势是图形中的节点。占主导地位的姿势是与所有其他姿势节点共享紧密语义关系的图节点，因此预计将位于图的中心部分。其次，引入了一种新颖的相似性度量来对主导姿势进行排名。使用改进的二部图中心度度量对“姿势双峰”（两个表演者的主导姿势的所有可能组合）进行排名。使用感知分析技术选择最能代表相应交互的“主导姿势对偶”集。与现有技术相比，标准交互数据集上的识别结果表明了该方法的有效性。

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