Image Objects Detection Method for the Embedded System

Autor: Seung-Ryong Rho, Yun-Il Kim
Rok vydání: 2009
Předmět:
Zdroj: Journal of Institute of Control, Robotics and Systems. 15:420-425
ISSN: 1976-5622
DOI: 10.5302/j.icros.2009.15.4.420
Popis: In this paper, image detection and recognition algorithms are studied with respect to embedded carrier system. There are many suggested techniques to detect and recognize objects. But they have the propensity to need much calculation for high hit rate. Advanced and modified method needs to study for embedded systems that low power consumption and real time response are requested. The proposed methods were implemented using Intel(R) Open Source Computer Vision Library provided by Intel Corporation. And they run and tested on embedded system using a ARM920T processor by cross-compiling. They showed 1.6sec response time and 95% hit rate and supported the automated moving carrier system smoothly.
Databáze: OpenAIRE