Open AccessVision-based robot identification and tracking
Author(s) -
Dong He,
Jian Lu,
Zhou Qinghe,
Yin Hongjie
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1971/1/012033
Subject(s) - artificial intelligence , robot , mobile robot , computer vision , computer science , field (mathematics) , premise , identification (biology) , tracking (education) , matching (statistics) , mobile robot navigation , robotics , human–computer interaction , robot control , mathematics , psychology , pedagogy , linguistics , philosophy , botany , statistics , pure mathematics , biology
In recent years, computer vision technology in the field of science and technology has been stubbornly high, making a lot of scientific and technical personnel involved in the research gate technology. Depth learning, artificial intelligence in recent years, often around our ears, vision technology is occupying a place in the field of artificial intelligence. This paper mainly studies the recognition and localization of robots based on vision. The mobile robot is detected by the background difference method, and the background model is established by the Gaussian background modeling. Recognizing the color and number tags on the robot for matching the robot’s features. Real-time positioning of the robot under the premise of the same background.