A novel hardware accelerator for embedded object detection applications
- Submitting institution
-
Glasgow Caledonian University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 33575212
- Type
- D - Journal article
- DOI
-
10.1109/TETC.2016.2520888
- Title of journal
- IEEE Transactions on Emerging Topics in Computing
- Article number
- -
- First page
- 551
- Volume
- 5
- Issue
- 4
- ISSN
- 2168-6750
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2016
- 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
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work focuses on the mapping object detection algorithms to Multiple Processor System on Chip implementations, which provide a similar level of accuracy as current high performing solutions yet operate at a much lower power consumption.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -