Paper Info
Title
FPGA-based multimodal embedded sensor system integrating low- and mid-level vision.
Abstract
Motion estimation is a low-level vision task that is especially relevant due to its wide range of applications in the real world. Many of the best motion estimation algorithms include some of the features that are found in mammalians, which would demand huge computational resources and therefore are not usually available in real-time. In this paper we present a novel bioinspired sensor based on the synergy between optical flow and orthogonal variant moments. The bioinspired sensor has been designed for Very Large Scale Integration (VLSI) using properties of the mammalian cortical motion pathway. This sensor combines low-level primitives (optical flow and image moments) in order to produce a mid-level vision abstraction layer. The results are described trough experiments showing the validity of the proposed system and an analysis of the computational resources and performance of the applied algorithms.
Year
DOI
Venue
2011
10.3390/s110808164
SENSORS
Keywords
Field
DocType
bio-inspired systems,machine vision,optical flow,orthogonal variant moments,VLSI
Computer vision,Machine vision,Computer science,Field-programmable gate array,Sensor system,Artificial intelligence,Motion estimation,Abstraction layer,Image moment,Very-large-scale integration,Optical flow
Journal
Volume
Issue
ISSN
11
8
1424-8220
Citations 
PageRank 
References 
20
0.68
21
Authors
4
Name
Order
Citations
PageRank
Guillermo Botella129425.97
José Antonio Martín H.214014.43
Matilde Santos314324.39
Uwe Meyer-Baese41669.65