Title
Position tracking and recognition of everyday objects by using sensors embedded in an environment and mounted on mobile robots
Abstract
This paper describes an object tracking system for a robot working in an everyday environment, which tracks and recognizes everyday objects. Passive RFID (Radio Frequency IDentification) tags are attached to the objects for object recognition. The system consists of static sensors embedded in the environment and mobile sensors mounted on mobile robots. By utilizing the different characteristics and advantages of these sensors, the system achieves good performance in an everyday environment. Although the tag ID and the position of an object carried by a person is not measurable by static sensors or by mobile sensors, the system can estimate them by using an SIR (Sequential importance resampling) particle filter that integrates the data obtained by the static sensors and the mobile sensors. In the experiment, the system successfully tracked 20 objects, some of which were held by a person.
Year
DOI
Venue
2012
10.1109/ICRA.2012.6225329
Robotics and Automation
Keywords
Field
DocType
image sampling,image sensors,mobile robots,object recognition,object tracking,particle filtering (numerical methods),radiofrequency identification,robot vision,SIR particle filter,everyday environment,everyday object recognition,mobile robots,mobile sensors,object tracking system,passive RFID tags,position recognition,position tracking,radio frequency identification,sequential importance resampling,static sensors
Computer vision,Image sensor,Particle filter,Control engineering,Video tracking,Software,Artificial intelligence,Engineering,Robot,Radio-frequency identification,Mobile robot,Cognitive neuroscience of visual object recognition
Conference
Volume
Issue
ISSN
2012
1
1050-4729 E-ISBN : 978-1-4673-1404-6
ISBN
Citations 
PageRank 
978-1-4673-1404-6
4
0.42
References 
Authors
16
4
Name
Order
Citations
PageRank
Kouji Murakami1446.30
Kazuya Matsuo2215.07
Tsutomu Hasegawa348571.41
Ryo Kurazume462274.18