Skip to main navigation Skip to search Skip to main content

On the sensitivity of spatio-temporal interest points to person identity

  • Telecom Paris

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Spatio-temporal interest points (STIPs) have recently become a mainstream technique for encoding human action video sequences. These local features overcome the complex issues of background subtraction and human tracking, and encode relevant motion information for recognition. Nonetheless, STIPs may result not only from actions themselves but from other factors such as person identity. This paper addresses modeling the multi-modal aspect of motions using Multilinear Tensor Analysis, with the goal of detaching parameters that are relevant to action recognition from those that are irrelevant (related to person identity). This modeling of space time interest points by a tensor representation is a new contribution to human action analysis. Experiments carried out on the Weizmann and KTH datasets give the interesting finding that STIP-based features are not only related to action types but may also be sensitive to person identity or style.

Original languageEnglish
Title of host publication2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012, Proceedings
Pages69-72
Number of pages4
DOIs
Publication statusPublished - 2 Jul 2012
Event2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012 - Santa Fe, NM, United States
Duration: 22 Apr 201224 Apr 2012

Publication series

NameProceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation

Conference

Conference2012 IEEE Southwest Symposium on Image Analysis and Interpretation, SSIAI 2012
Country/TerritoryUnited States
CitySanta Fe, NM
Period22/04/1224/04/12

Keywords

  • Spatio-temporal interest points
  • tensor

Fingerprint

Dive into the research topics of 'On the sensitivity of spatio-temporal interest points to person identity'. Together they form a unique fingerprint.

Cite this