On the Design of Change-driven Data-flow Algorithms and Architectures for High-speed Motion Analysis
Jose A. Boluda, Pedro Zuccarello, Fernando Pardo, Francisco Vegara
2012
Abstract
Motion analysis is a computationally demanding task due to the large amount of data involved as well as the complexity of the implicated algorithms. In this position paper we present some ideas about data-flow architectures for processing visual information. Selective Change Driven (SCD) is based on a CMOS sensor which delivers, ordered by the absolute magnitude of its change, only the pixels that have changed after the last time they were read-out. As a natural step, a processing architecture based on processing pixels in a data-flow method, instead of processing complete frames, is presented. A data-flow FPGA-based architecture is appointed in developing such concepts.
References
- Boluda, J., Zuccarello, P., Pardo, F., and Vegara, F. (2011). Selective Change Driven Imaging: A Biomimetic Visual Sending Strategy. Sensors, 11(11):1100-11020.
- Camunas-Mesa, L., Perez-Carrasco, J., Zamarreno-Ramos, C., Serrano-Gotarredona, T., and Linares-Barranco, B. (2010). On Scalable Spiking ConvNet Hardware for Cortex-Like Visual Sensory Processing System. In Proc. of the 2010 IEEE International Symposium on Circuits and Systems, pages 249-252, Paris, France. .
- Chi, Y., Mallik, U., Clapp, E., Choi, E., Cauwenberghs, G., and Etienne-Cummings, R. (2007). CMOS camera with in-pixel temporal change detection and ADC. IEEE Journal of Solid-State Circuits, 42(10):2187- 2196.
- Gollisch, T. and Meister, M. (2010). Eye smarter than scientist believed: Neural computations in circuits of the Retina. Neuron, 65():150-164.
- Higgins, C. and Koch, C. (2000). A Modular Multi-Chip Neuromorphic Architecture for Real-Time Visual Motion Processing. Analog Integrated Circuits and Signal Processing, 24(3):195-211.
- Lichtsteiner, P., Posch, C., and Delbrück, T. (2008). A 128x128 dB 15 µs latency asynchronous temporal contrast vision sensor,. IEEE Journal of Solid-State Circuits, 43(2):566-576.
- Mahowald, M. (1992). VLSI Analogs of neural visual processing: A synthesis of form and function. PhD thesis, Computer Science Divivision, California Institute of Technology, Pasadena, CA.
- Pardo, F., Zuccarello, P., Boluda, J., and Vegara, F. (2011). Advantages of Selective Change Driven Vision for resource-limited systems. IEEE Transactions on Circuits and Systems for Video Technology, 21(10):1415- 1423.
- Zuccarello, P., Pardo, F., de la Plaza, A., and Boluda, J. (2010). 32x32 winner-take-all matrix with single winner selection. Electronics Letters, 46(5):333-335.
Paper Citation
in Harvard Style
Boluda J., Zuccarello P., Pardo F. and Vegara F. (2012). On the Design of Change-driven Data-flow Algorithms and Architectures for High-speed Motion Analysis . In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-8565-21-1, pages 548-553. DOI: 10.5220/0004120805480553
in Bibtex Style
@conference{icinco12,
author={Jose A. Boluda and Pedro Zuccarello and Fernando Pardo and Francisco Vegara},
title={On the Design of Change-driven Data-flow Algorithms and Architectures for High-speed Motion Analysis},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2012},
pages={548-553},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004120805480553},
isbn={978-989-8565-21-1},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - On the Design of Change-driven Data-flow Algorithms and Architectures for High-speed Motion Analysis
SN - 978-989-8565-21-1
AU - Boluda J.
AU - Zuccarello P.
AU - Pardo F.
AU - Vegara F.
PY - 2012
SP - 548
EP - 553
DO - 10.5220/0004120805480553