Visual tracking based on improved foreground detection and perceptual hashing
- Submitting institution
-
University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 7110535
- Type
- D - Journal article
- DOI
-
10.1016/J.NEUCOM.2014.09.060
- Title of journal
- Neurocomputing
- Article number
- -
- First page
- 413
- Volume
- 152
- Issue
- -
- ISSN
- 0925-2312
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- 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
-
2
- Research group(s)
-
B - Computational Intelligence
- Citation count
- 24
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- A novel method for foreground detection and object tracking, based on frame differencing and perceptual hashing. Addresses the common problems caused by foreground aperture and ghosting for low-speed moving targets or homogeneous colour targets. The superior performance of this new method is significant for face tracking, robot localisation and navigation, and infrared thermal imaging tracking.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -