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» Tracking Multiple Humans in Crowded Environment
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ICRA
2010
IEEE
301views Robotics» more  ICRA 2010»
13 years 4 months ago
People tracking with human motion predictions from social forces
Abstract— For many tasks in populated environments, robots need to keep track of present and future motion states of people. Most approaches to people tracking make weak assumpti...
Matthias Luber, Johannes Andreas Stork, Gian Diego...
ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
14 years 11 months ago
You'll never walk alone: modeling social behavior for multi-target tracking
Object tracking typically relies on a dynamic model to predict the object’s location from its past trajectory. In crowded scenarios a strong dynamic model is particularly impo...
S. Pellegrini, A. Ess, K. Schindler, L. van Gool
HCI
2009
13 years 3 months ago
Multiuser Collaborative Exploration of Immersive Photorealistic Virtual Environments in Public Spaces
We have developed and deployed a multimedia museum installation that enables one or several users to interact with and collaboratively explore a 3D virtual environment while simult...
Scott Robertson, Brian Jones, Tiffany O'Quinn, Pet...
ICARCV
2006
IEEE
132views Robotics» more  ICARCV 2006»
14 years 6 hour ago
Dynamic Environment Modeling with Gridmap: A Multiple-Object Tracking Application
— The Bayesian occupancy filter (BOF) [1] has achieved promising results in the object tracking applications. This paper presents a new development of BOF which inherits origina...
Cheng Chen, Christopher Tay, Christian Laugier, Ka...
ECCV
2008
Springer
13 years 7 months ago
Robust Object Tracking by Hierarchical Association of Detection Responses
Abstract. We present a detection-based three-level hierarchical association approach to robustly track multiple objects in crowded environments from a single camera. At the low lev...
Chang Huang, Bo Wu, Ramakant Nevatia