Embedded Contours Extraction for High-Speed Scene Dynamics Based on a Neuromorphic Temporal Contrast Vision Sensor
Abstract
The paper presents a compact vision system for efficient contours extraction in high-speed applications. By exploiting the ultra high temporal resolution and the sparse representation of the sensorpsilas data in reacting to scene dynamics, the system fosters efficient embedded computer vision for ultra high-speed applications. The results reported in this paper show the sensor output quality for a wide range of object velocity (5-40 m/s), and demonstrate the object data volume independence from the velocity as well as the steadiness of the object quality. The influence of object velocity on high-performance embedded computer vision is also discussed.
Cite
Text
Belbachir et al. "Embedded Contours Extraction for High-Speed Scene Dynamics Based on a Neuromorphic Temporal Contrast Vision Sensor." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563153Markdown
[Belbachir et al. "Embedded Contours Extraction for High-Speed Scene Dynamics Based on a Neuromorphic Temporal Contrast Vision Sensor." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/belbachir2008cvprw-embedded/) doi:10.1109/CVPRW.2008.4563153BibTeX
@inproceedings{belbachir2008cvprw-embedded,
title = {{Embedded Contours Extraction for High-Speed Scene Dynamics Based on a Neuromorphic Temporal Contrast Vision Sensor}},
author = {Belbachir, Ahmed Nabil and Hofstätter, Michael and Milosevic, Nenad and Schön, Peter},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2008},
pages = {1-8},
doi = {10.1109/CVPRW.2008.4563153},
url = {https://mlanthology.org/cvprw/2008/belbachir2008cvprw-embedded/}
}