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» Modeling Individual Behaviors in Crowd Simulation
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ICCV
2009
IEEE
1190views Computer Vision» more  ICCV 2009»
15 years 1 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
ECCV
2008
Springer
14 years 10 months ago
Floor Fields for Tracking in High Density Crowd Scenes
Abstract. This paper presents an algorithm for tracking individual targets in high density crowd scenes containing hundreds of people. Tracking in such a scene is extremely challen...
Saad Ali, Mubarak Shah
CVPR
2011
IEEE
13 years 4 months ago
Learning Context for Collective Activity Recognition
In this paper we present a framework for the recognition of collective human activities. A collective activity is defined or reinforced by the existence of coherent behavior of i...
Wongun Choi, Silvio Savarese, Khuram Shahid
ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 7 months ago
Learning to navigate through crowded environments
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
Peter Henry, Christian Vollmer, Brian Ferris, Diet...
MIG
2009
Springer
14 years 3 months ago
Exploiting Motion Capture to Enhance Avoidance Behaviour in Games
Abstract. Realistic simulation of interacting virtual characters is essential in computer games, training and simulation applications. The problem is very challenging since people ...
Ben J. H. van Basten, Sander E. M. Jansen, Ioannis...