This paper introduces the detection of mobile object in intelligent space robot application. There are three major algorithms, namely object detection, object classification and object tracking. The core of the detection of mobile object comprise of two processes: offline and online. An offline process consists of the training of the model using deference input sources that depend on the application. An online process consists of the matching process and the result of the object poses. The main idea of object classification is to classify into two categories depending on the dimension of object, mobile object and non-mobile object. By using an offline and an online process the whole process becomes faster because there only have object classification and object tracking involved in real time. The positions of the mobile object are represented by symbol X with difference colors for easy comparison with non-mobile object. One of the unique advantages mentioned in this paper, the detection of mobile object only uses image processing that are generated by the algorithms without additional sensor like sonar or IR sensor.
목차
Abstract 1. Introduction 2. Background 3. Approach and Method 3.1 Offline Process 3.2 Online Process 4. Result 4.1 Offline Test 5. Discussion 6. Conclusions and Future Work Acknowledgements References
보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
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 Signal Processing, Image Processing and Pattern Recognition
간기
격월간
pISSN
2005-4254
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.4