Real-time object tracking based on scale-invariant features employing bio-inspired hardware.
- DOI
- 10.1016/j.neunet.2016.05.002
- Published
- 2016 Sep
- Container
- Neural networks : the official journal of the International Neural Network Society
- Publisher
- Not recorded
- Open access
- no
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1016/j.neunet.2016.05.002,
title = {Real-time object tracking based on scale-invariant features employing bio-inspired hardware.},
author = {Yasukawa S and Okuno H and Ishii K and Yagi T},
year = {2016},
journal = {Neural networks : the official journal of the International Neural Network Society},
doi = {10.1016/j.neunet.2016.05.002},
url = {https://doi.org/10.1016/j.neunet.2016.05.002}
}RIS
TY - JOUR TI - Real-time object tracking based on scale-invariant features employing bio-inspired hardware. AU - Yasukawa S AU - Okuno H AU - Ishii K AU - Yagi T PY - 2016 JO - Neural networks : the official journal of the International Neural Network Society DO - 10.1016/j.neunet.2016.05.002 UR - https://doi.org/10.1016/j.neunet.2016.05.002 ER -
APA
S, Y., H, O., K, I., & T, Y. (2016). Real-time object tracking based on scale-invariant features employing bio-inspired hardware.. Neural networks : the official journal of the International Neural Network Society. https://doi.org/10.1016/j.neunet.2016.05.002
Source records
- pubmed · retrieved 2026-09-25T06:03:42.846Z
- europe-pmc · retrieved 2026-09-25T06:03:42.854Z