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Discovering Object Classes from Activities

2014

Conference Paper

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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.

Author(s): Abhilash Srikantha and Juergen Gall
Book Title: European Conference on Computer Vision
Volume: 8694
Pages: 415-430
Year: 2014
Month: September

Series: Lecture Notes in Computer Science
Editors: D. Fleet and T. Pajdla and B. Schiele and T. Tuytelaars
Publisher: Springer International Publishing

Department(s): Perceiving Systems
Research Project(s): Object Detection
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

DOI: 10.1007/978-3-319-10599-4_27
Event Name: 13th European Conference on Computer Vision
Event Place: Zürich, Switzerland
Attachments: pdf
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BibTex

@inproceedings{Srik:ECCV:2014,
  title = {Discovering Object Classes from Activities},
  author = {Srikantha, Abhilash and Gall, Juergen},
  booktitle = {European Conference on Computer Vision},
  volume = {8694},
  pages = {415-430},
  series = {Lecture Notes in Computer Science},
  editors = {D. Fleet  and T. Pajdla and B. Schiele  and T. Tuytelaars },
  publisher = {Springer International Publishing},
  month = sep,
  year = {2014},
  month_numeric = {9}
}