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  Discovering Object Classes from Activities

Srikantha, A., & Gall, J. (2014). Discovering Object Classes from Activities. In D. Fleet, T. Pajdla, B. Schiele, & T. Tuytelaars (Eds.), Computer Vision - ECCV 2014. 3th European Conference on Computer Vision. Proceedings, Part VI (pp. 415-430). Cham et al.: Springer International Publishing. doi:10.1007/978-3-319-10599-4_27.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-E2AB-1 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-0024-E2EC-D
Genre: Conference Paper

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 Creators:
Srikantha, Abhilash1, Author           
Gall, Juergen, Author
Affiliations:
1Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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 Abstract: In order to avoid an expensive manual labeling process or to learn object classes autonomously without human intervention, object discovery techniques have been proposed that extract visual similar objects from weakly labelled videos. However, the problem of discovering small or medium sized objects is largely unexplored. We observe that videos with activities involving human-object interactions can serve as weakly labelled data for such cases. Since neither object appearance nor motion is distinct enough to discover objects in these videos, we propose a framework that samples from a space of algorithms and their parameters to extract sequences of object proposals. Furthermore, we model similarity of objects based on appearance and functionality, which is derived from human and object motion. We show that functionality is an important cue for discovering objects from activities and demonstrate the generality of the model on three challenging RGB-D and RGB datasets.

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 Dates: 20142014-09
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: Srik:ECCV:2014
DOI: 10.1007/978-3-319-10599-4_27
 Degree: -

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Title: ECCV 2014. 13th European Conference on Computer Vision
Place of Event: Zürich
Start-/End Date: 2014-09-06 - 2014-09-12

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Title: Computer Vision - ECCV 2014. 3th European Conference on Computer Vision. Proceedings, Part VI
Source Genre: Proceedings
 Creator(s):
Fleet, D., Editor
Pajdla, T., Editor
Schiele, B., Editor
Tuytelaars, T., Editor
Affiliations:
-
Publ. Info: Cham et al. : Springer International Publishing
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 415 - 430 Identifier: ISBN: 978-3-319-10598-7
ISBN: 978-3-319-10599-4

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Title: Lecture Notes in Computer Science
Source Genre: Series
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Publ. Info: -
Pages: - Volume / Issue: 8694 Sequence Number: - Start / End Page: - Identifier: -