A 3-dimensional sift descriptor and its application to action recognition 论文
2007引用 1619
Human Pose and Action RecognitionVideo Analysis and SummarizationAdvanced Image and Video Retrieval Techniques
摘要
In this paper we introduce a 3-dimensional (3D) SIFT descriptor for video or 3D imagery such as MRI data. We also show how this new descriptor is able to better represent the 3D nature of video data in the application of action recognition. This paper will show how 3D SIFT is able to outperform previously used description methods in an elegant and efficient manner. We use a bag of words approach to represent videos, and present a method to discover relationships between spatio-temporal words in order to better describe the video data.