You'll never walk alone: Modeling social behavior for multi-target tracking
ETH Zurich · Technical University of Darmstadt · +1 more institution
Abstract
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 important, because more accurate predictions allow for smaller search regions, which greatly simplifies data association. Traditional dynamic models predict the location for each target solely based on its own history, without taking into account the remaining scene objects. Collisions are resolved only when they happen. Such an approach ignores important aspects of human behavior: people are driven by their future destination, take into account their environment, anticipate collisions, and adjust their trajectories at an early stage in order…
Citation impact
- FWCI
- 63.04
- Percentile
- 100%
- References
- 29
Authors
4Topics & keywords
- Computer science
- Tracking (education)
- Trajectory
- Object (grammar)
- Computer vision
- Artificial intelligence
- Motion (physics)
- Video tracking
- Reduced inequalities