Paper Info
Title
A Load Balancing Approach for Silicon Retina Based Asynchronous Temporal Data Processing
Abstract
In this paper we present a load balancing approach for Silicon Retina technology based computer vision applications. The Silicon Retina technology is a new kind of bio-inspired analogue sensor that is derived from the human vision system. In comparison to conventional imagers that provide frame information captured by a fixed frame-rate, Silicon Retina imagers only provide information of pixels with variations of intensity in a scene. The high amount of pixels without intensity variations need neither be transmitted nor processed. Due to these special characteristics, the imager delivers asynchronous data with data-rates up to a peak of 6M events per second (Meps) per channel and a time resolution of 10ns. A distributed embedded system consisting of a single-core processor for data acquisition and load balancing and a multi-core processor for data processing is used. We discuss both the Silicon Retina technology, the principles of the computer vision algorithms being used, and the load balancing approach.
Year
DOI
Venue
2010
10.1109/SEAA.2010.12
EUROMICRO-SEAA
Keywords
Field
DocType
load balancing,asynchronous temporal data processing,computer vision,data acquisition,asynchronous data,data processing,conventional imagers,computer vision application,silicon retina,human vision system,silicon retina technology,embedded system,load balance,stereo vision,embedded systems,silicon,load balancer,multi core processor,digital signal processing,temporal data,temporal databases,image recognition,resource allocation
Load management,Asynchronous communication,Digital signal processing,Machine vision,Computer science,Load balancing (computing),Data acquisition,Communication channel,Real-time computing,Pixel,Computer hardware
Conference
ISSN
Citations 
PageRank 
1089-6503
0
0.34
References 
Authors
5
2
Name
Order
Citations
PageRank
Christoph Sulzbachner1575.72
Jürgen Kogler2505.71