Accuracy vs efficiency trade-offs in optical flow algorithms

H Liu, TH Hong, M Herman, T Camus… - Computer vision and …, 1998 - Elsevier
There have been two thrusts in the development of optical flow algorithms. One has
emphasized higher accuracy; the other faster implementation. These two thrusts, however …

Accuracy vs. efficiency trade-offs in optical flow algorithms

H Liu, TH Hong, M Herman, R Chellappa - Computer Vision—ECCV'96 …, 1996 - Springer
There have been two thrusts in the development of optical flow algorithms. One has
emphasized higher accuracy; the other faster implementation. These two thrusts, however …

A charge-based CMOS parallel analog vector quantizer

G Cauwenberghs, V Pedroni - Advances in Neural …, 1994 - proceedings.neurips.cc
We present an analog VLSI chip for parallel analog vector quantiza (cid: 173) tion. The
MOSIS 2.0 J.. Lm double-poly CMOS Tiny chip contains an array of 16 x 16 charge-based …

Neuromorphic learning VLSI systems: A survey

G Cauwenberghs - … Systems Engineering: Neural Networks in Silicon, 1998 - Springer
Carver Mead introduced “neuromorphic engineering”[1] as an interdisciplinary approach to
the design of biologically inspired neural information processing systems, whereby …

Future high performance computing capabilities: Summary report of the advanced scientific computing advisory committee (ascac) subcommittee

K Bergman, T Conte, A Gara, M Gokhale, M Heroux… - 2019 - osti.gov
The ASCAC Subcommittee on Future High Performance Computing (HPC) Capabilities has
reviewed opportunities and challenges related to the most promising technologies that are …

Length–speed ratio (LSR) as a characteristic for moving elements real-time classification

MA Fernández, A Fernández-Caballero, MT López… - Real-Time Imaging, 2003 - Elsevier
In this article, the length–speed ratio (LSR) is proposed as a basic characteristic for the real-
time detection of moving objects. We define the LSR of a uniform moving zone as the …

Fast hardware implementation of Gabor filter based motion estimation

A Spinéi, D Pellerin, D Fernandes… - Integrated Computer …, 2000 - content.iospress.com
Motion estimation in image sequences is a fundamental issue in many applications as for
instance in artificial vision and three-dimensional scene reconstruction. Among all the …

Ensemble competitive learning neural networks with reduced input dimension

J Kim, J Ahn, S Cho - International Journal of Neural Systems, 1995 - World Scientific
Conventional neural networks utilize all the dimensions of the original input patterns for
training and classification. However, a particular attribute of the input patterns does not …

Neural structures for visual motion tracking

D Anguita, G Parodi, R Zunino - Machine Vision and Applications, 1995 - Springer
This paper addresses visual motion tracking by a connectionist method, and aims at
showing how the flexibility and the generalization power of neural networks can enhance a …

VLSI implementation of the Hippocampal dentate gyrus

OTC Chen, T Berger, BJ Sheu - World Congress on Neural …, 2021 - taylorfrancis.com
The VLSI implementation of a mathematical model of the functional properties of the
hippocampal formation has been developed. The hippocampal formation is a brain system …