Implementation of object recognition and tracking algorithm on real-time basis

被引：0

作者：

Kwak, Jae Chang ^{[1
]}

Park, Tae Ryong ^{[2
]}

Koo, Yong Seo ^{[3
]}

Lee, Kwang Yeob ^{[2
]}

机构：

[1] Seo Kyeong Univ, Dept Comp Sci, 16-1 Jeongneung Dong, Seoul 136704, South Korea

[2] Seo Kyeong Univ, Dept Comp Engn, Seoul 136704, South Korea

[3] Dan Kook Univ, Dept Elect Engn, Yongin 448701, South Korea

来源：

2013 IEEE EUROCON | 2013年

关键词：

SURF; ORB; optical flow; BRIEF; OpenMP;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper is intended to recognize and track objects on real time basis under the embedded environment. Speed and rate of recognition have been improved by strong directional SURF and optical flow, but its speed is not fast enough for the embedded system. In this paper, recognition and tracking objects by integration of ORB and optical flow with a parallelization using OpenMP are implemented. The result shows an improved processing speed.

引用

页码：2000 / 2003

页数：4

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