公开(公告)号：US20130202210A1

公开(公告)日：2013-08-08

申请号：US13654077

申请日：2012-10-17

Applicant: Electronics And Telecommunications Research Institute

Inventor： Michael Sahngwon RYOO ,  Jae-Yeong LEE ,  Wonpil YU

IPC: G06K9/46

CPC classification number: G06K9/00771 ,  G06K9/4642

Abstract: A method for human activity prediction from streaming videos includes extracting space-time local features from video streams containing video information related to human activities; and clustering the extracted space-time local features into multiple visual words based on the appearance of the features. Further, the method for the human activity prediction includes computing an activity likelihood value by modeling each activity as an integral histogram of the visual words; and predicting the human activity based on the computed activity likelihood value.

Abstract translation: 从流式视频中预测人类活动的方法包括从包含与人类活动相关的视频信息的视频流中提取时空局部特征; 并且基于特征的外观将提取的时空局部特征聚类成多个视觉词。 此外，人类活动预测的方法包括通过将每个活动建模为视觉词的整体直方图来计算活动似然度值; 并基于计算的活动似然值预测人类活动。