A fast self-tuning background subtraction algorithm
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 12 - Engineering
- Output identifier
- 51512918
- Type
- E - Conference contribution
- DOI
-
10.1109/CVPRW.2014.64
- Title of conference / published proceedings
- IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2014
- First page
- 401
- Volume
- -
- Issue
- -
- ISSN
- 2160-7508
- Open access status
- Out of scope for open access requirements
- Month of publication
- June
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
-
F - EEE
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The results in this paper were included in an international benchmark (CDnet 2014, see http://changedetection.net, entry for "AMBER") and have been taken up and used by other authors.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
