Extended fast compressive tracking with weighted multi-frame template matching for fast motion tracking
- Submitting institution
-
Glasgow Caledonian University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 39736065
- Type
- D - Journal article
- DOI
-
10.1016/j.patrec.2015.10.014
- Title of journal
- Pattern Recognition Letters
- Article number
- -
- First page
- 82
- Volume
- 69
- Issue
- -
- ISSN
- 0167-8655
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2015
- 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
-
3
- Research group(s)
-
-
- Citation count
- 11
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper presents the novel combination of Compressive Sensing and Template Matching in the field of visual object tracking. The work extends upon popular Compressive Sensing approaches to object tracking by incorporating a temporal weighted multi-frame template matching stage which takes into account changes in the target over time while preserving a quantity of the original appearance for drift reduction. This work was instrumental in leading to KTP Project 9801 with GCU and Geckotech Solutions Ltd which won ‘Best KTP’ and was shortlisted for ‘Engineering Excellence’ at the Knowledge Transfer Partnership 2019 Best of the Best Awards.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
