A biologically inspired vision-based approach for detecting multiple moving objects in complex outdoor scenes
- Submitting institution
-
University of Strathclyde
- Unit of assessment
- 12 - Engineering
- Output identifier
- 45799345
- Type
- D - Journal article
- DOI
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10.1007/s12559-015-9318-z
- Title of journal
- Cognitive Computation
- Article number
- -
- First page
- 539
- Volume
- 7
- Issue
- 5
- ISSN
- 1866-9956
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- 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
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research led to author Yang becoming an editorial board member of the international Q1 journal ‘Cognitive Computation’ (https://www.springer.com/journal/12559/editors), and contributed to securing the £500k industrially-funded ‘Robotics Inspection’ research project (contact: Suzanne Buist).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -