Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Robust People Tracking with Global Trajectory Optimization
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Approximate Bayesian Multibody Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle
International Journal of Computer Vision
International Journal of Computer Vision
Hi-index | 0.00 |
Many mobile service robots operate in close interaction with humans. Being constantly aware of the people in the surrounding of the robot thus poses an important challenge to perception and behavior design. In this paper, we present an approach to people awareness for mobile service robots that utilizes knowledge about the semantics of the environment. The known semantics, e.g., about walkable floor, chairs, and shelves, provides the robot with prior information. We utilize information about the a-priori likelihood that people are present at semantically distinct places. Together with reasonable face heights inferred from scene semantics, this information supports robust detection and awareness of people in the robot's environment. For efficient exploration of the environment for people, we propose a strategy which chooses search locations that maximize the expected detection rate of new persons. We evaluate our approach with our domestic service robot that competes in the RoboCup@Home league.