Range-Based People Detection and Tracking for Socially Enabled Service Robots
- 13 March 2012
- book chapter
- other
- Published by Springer Science and Business Media LLC
Abstract
No abstract availableKeywords
This publication has 19 references indexed in Scilit:
- Multi-model Hypothesis Group Tracking and Group Size EstimationInternational Journal of Social Robotics, 2009
- Efficient people tracking in laser range data using a multi-hypothesis leg-tracker with adaptive occlusion probabilitiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008
- Using Boosted Features for the Detection of People in 2D Range DataProceedings 2001 ICRA. IEEE International Conference on Robotics and Automation (cat. No.01ch37164), 2007
- Multiple Hypothesis Tracking of Clusters of PeoplePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- A probabilistic Exemplar Approach to Combine Laser and Vision for Person TrackingPublished by Robotics: Science and Systems Foundation ,2006
- Tracking for following and passing personsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Real-time object tracking for soccer-robots without color informationRobotics and Autonomous Systems, 2004
- People Tracking with Mobile Robots Using Sample-Based Joint Probabilistic Data Association FiltersThe International Journal of Robotics Research, 2003
- Improved Boosting Algorithms Using Confidence-rated PredictionsMachine Learning, 1999
- An algorithm for tracking multiple targetsIEEE Transactions on Automatic Control, 1979