Sciweavers

Share
IBPRIA
2007
Springer

Robust Multiple-People Tracking Using Colour-Based Particle Filters

9 years 4 months ago
Robust Multiple-People Tracking Using Colour-Based Particle Filters
Robust and accurate people tracking is a key task in many promising computer-vision applications. One must deal with non-rigid targets in open-world scenarios, whose shape and appearance evolve over time. Targets may interact, causing partial or complete occlusions. This paper improves tracking by means of particle filtering, where occlusions are handled considering the target’s predicted trajectories. Model drift is tackled by careful updating, based on the history of likelihood measures. A colour-based likelihood, computed from histogram similarity, is used. Experiments are carried out using sequences from the CAVIAR database.
Daniel Rowe, Ivan Huerta Casado, Jordi Gonzà
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where IBPRIA
Authors Daniel Rowe, Ivan Huerta Casado, Jordi Gonzàlez, Juan José Villanueva
Comments (0)
books