This paper discusses our work with the design and implementation of real-time face recognition for cloud robot. Face recognition has been widely used for surveillance and airport security. Robot systems which support face recognition are available too. As for robots, real-time feedbacks from sensors are always required. In order to recognize a face in real time, the images captured by camera have to be stored and then processed by face recognition algorithm. This processing procedure runs several times per second which is computationally intensive tasks for usual robot systems. Benefit from cloud computing technology, robot can offload computational tasks to cloud server which composes of several computational units (PCs) and is capable of executing distributed tasks. In our approach, real-time images will be captured and sent back to the cloud server. PCs in cloud side process the images in parallel. Face detection and recognition algorithm will be applied to each image and then the recognition results will be returned to the robot as the response. Our experimental results demonstrate that as a implementation of cloud robotics system, the proposed cloud robot is capable of doing real-time face recognition.
목차
Abstract 1. Introduction 2. Related Works 3. The Architecture of Implemented Cloud Robot 4. Face Recognition Algorithm and Implementation 5. Experimental Results 6. Conclusion References
키워드
cloud robotcloud computingreal-time face recognitioncloud robotics
보안공학연구지원센터(IJMUE) [Science & Engineering Research Support Center, Republic of Korea(IJMUE)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Multimedia and Ubiquitous Engineering
간기
월간
pISSN
1975-0080
수록기간
2008~2016
등재여부
SCOPUS
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Multimedia and Ubiquitous Engineering Vol.9 No.10