Paper Info
Title
A Technique For Dynamic Background Segmentation Using A Robotic Stereo Vision Head
Abstract
Human-robot interaction approaches like face detection, face recognition, pedestrian detection are widely known in robotics field; however often they lead to performance problems. Additionally, false positive and false negative problems are commonly associated to bad illumination and strong featured images. Moreover background segmentation approaches are frequently used to solve this problem on static camera surveillance. Though all these approaches are unable to effectively deal with the constant background changes that certainly happens when the camera sensor is installed on a mobile robot. Hence, in this work we propose a stereo vision dynamic background segmentation solution to this problem.
Year
DOI
Venue
2009
10.1109/ROMAN.2009.5326303
RO-MAN 2009: THE 18TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2
Keywords
Field
DocType
false positive,camera sensor,face,face recognition,pixel,calibration,mobile robot,mobile robots,robot kinematics,human robot interaction,image segmentation,stereo vision,face detection
Computer vision,Object detection,Facial recognition system,Stereopsis,Simulation,Computer science,Segmentation,Image segmentation,Artificial intelligence,Face detection,Pedestrian detection,Mobile robot
Conference
Citations 
PageRank 
References 
0
0.34
10
Authors
3
Name
Order
Citations
PageRank
José Augusto Prado1386.81
Luís Santos211014.58
Jorge Dias317533.83