Title

A 3-Dimensional Sift Descriptor And Its Application To Action Recognition

Keywords

Algorithms

Abstract

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. Copyright 2007 ACM.

Publication Date

12-1-2007

Publication Title

Proceedings of the ACM International Multimedia Conference and Exhibition

Number of Pages

357-360

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/1291233.1291311

Socpus ID

37849037402 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/37849037402

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