A Low Cost Matching Motion Estimation Sensor Based on the NIOS II Microprocessor

Sensors

Diego González²  Guillermo Botella²  Uwe Meyer-Baese¹  Carlos Garc໚²  Concepción Sanz²  Manuel Prieto-Mat໚s² 

[1] Department of Electrical and Computer Engineering, FAMU-FSU College of Engineering, Tallahassee, FL 32310, USA; E-Mail:;Department of Computer Architecture and Automation, Complutense University of Madrid, Madrid 28040, Spain; E-Mails:

关键词: computer vision;    optical flow;    block matching algorithm;    NIOS II;    very large scale integration (VLSI);    FPGA;    embedded systems;   

DOI  :  10.3390/s121013126

来源: mdpi

【 摘 要 】

This work presents the implementation of a matching-based motion estimation sensor on a Field Programmable Gate Array (FPGA) and NIOS II microprocessor applying a C to Hardware (C2H) acceleration paradigm. The design, which involves several matching algorithms, is mapped using Very Large Scale Integration (VLSI) technology. These algorithms, as well as the hardware implementation, are presented here together with an extensive analysis of the resources needed and the throughput obtained. The developed low-cost system is practical for real-time throughput and reduced power consumption and is useful in robotic applications, such as tracking, navigation using an unmanned vehicle, or as part of a more complex system.

【 授权许可】

CC BY   
© 2012 by the authors; licensee MDPI, Basel, Switzerland.