Moving object detection and avoidance
Researchers
In-Kwon Kim (M.S. ), Sang-Jun Jung (M.S. )
Period of research
2006. 4 ~ 2008. 5.
Research Backgrounds
Avoidance of moving objects is essential for safe navigation.
The information of a range sensor is not sufficient to avoid dynamic obstacles such as a human while a vision sensor gives sufficient information.
Human detection is one of the most important abilities in indoor environment.
Research Objectives
Moving object detection using both stereo cameras and encoders during robot movement.
Robust tracking of moving objects using several features together, such as motion vector, color, etc.
Research Output
Demo Movie
Paper 1 : 김인권, 송재복, 모션벡터와 색상정보에 기반한 이동로봇의 동적 물체 검출 (Moving Object Detection based on Motion Vector and Color Information), 제어자동화시스템 심포지엄 논문집, pp. 491-495, 2007.05.
Paper 2 : 정상준, 송재복, SVM을 이용한 스테레오 비전 기반의 사람 탐지 (Stereo Vision based Human Detection using SVM), 정보 및 제어 학술대회, pp. 117-118, 2007.10.
* Last updated: 2012. 4. 30