Conference item : Poster
Betrayed by motion: Camouflaged object discovery via motion segmentation
- Abstract:
-
The objective of this paper is to design a computational architecture that discovers camouflaged objects in videos, specifically by exploiting motion information to perform object segmentation. We make the following three contributions: (i) We propose a novel architecture that consists of two essential components for breaking camouflage, namely, a differentiable registration module to align consecutive frames based on the background, which effectively emphasises the object boundary in the dif...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Accepted manuscript, 14.9MB)
-
- Publisher copy:
- 10.1007/978-3-030-69532-3
- Publication website:
- https://www.springer.com/gp/book/9783030695316
Authors
Funding
Bibliographic Details
- Publisher:
- Springer Publisher's website
- Host title:
- Computer Vision – ACCV 2020, Part II
- Series:
- Image Processing, Computer Vision, Pattern Recognition, and Graphics
- Series number:
- 12623
- Journal:
- Lecture Notes in Computer Science Journal website
- Pages:
- 488-503
- Publication date:
- 2021-04-02
- Acceptance date:
- 2020-09-16
- Event title:
- Asian Conference on Computer Vision, 2020
- Event location:
- Online
- Event website:
- http://accv2020.kyoto/
- Event start date:
- 2020-11-30
- Event end date:
- 2020-12-04
- DOI:
- ISSN:
-
0302-9743
- EISBN:
- 978-3-030-69532-3
- ISBN:
- 978-3-030-69531-6
Item Description
- Language:
- English
- Keywords:
- Subtype:
- Poster
- Pubs id:
-
1140248
- Local pid:
- pubs:1140248
- Deposit date:
- 2020-11-02
Terms of use
- Copyright holder:
- Springer Nature Switzerland AG
- Copyright date:
- 2021
- Rights statement:
- © Springer Nature Switzerland AG 2021
- Notes:
- This is the accepted manuscript version of the conference paper. The final published version is available from Springer at https://link.springer.com/book/10.1007%2F978-3-030-69532-3
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