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          Institute: MPI für biologische Kybernetik     Collection: Biologische Kybernetik     Display Documents



ID: 352343.0, MPI für biologische Kybernetik / Biologische Kybernetik
How to find interesting locations in video: a spatiotemporal interest point detector learned from human eye movements
Authors:Kienzle, W.; Schölkopf, B.; Wichmann, F.; Franz, M.O.
Date of Publication (YYYY-MM-DD):2007-09
Title of Proceedings:Proceedings of the 29th Annual Symposium of the German Association for Pattern Recognition (DAGM 2007)
Start Page:405
End Page:414
Physical Description:10
Audience:Not Specified
Intended Educational Use:No
Abstract / Description:Interest point detection in still images is a well-studied topic in computer vision.
In the spatiotemporal domain, however, it is still unclear which features indicate useful interest points. In this paper we approach the problem by emph{learning} a detector from examples: we record eye movements of human subjects watching video sequences and train a neural network to predict which locations are likely to become eye movement targets. We show that our detector outperforms current spatiotemporal interest point architectures on a standard classification dataset.
External Publication Status:published
Document Type:Conference-Paper
Communicated by:Holger Fischer
Affiliations:MPI für biologische Kybernetik/Empirical Inference (Dept. Schölkopf)
Identifiers:LOCALID:4486
URL:http://klimt.iwr.uni-heidelberg.de/dagm2007/index....
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