Mice and larvae tracking using a particle filter with an auto-adjustable observation model.
Hemerson PistoriValguima Victoria Viana Aguiar OdakuraJoão Bosco Oliveira MonteiroWesley Nunes GonçalvesAntonia Railda RoelJonathan de Andrade SilvaBruno Brandoli MachadoPublished in: Pattern Recognit. Lett. (2010)
Keyphrases
- particle filter
- observation model
- particle filtering
- visual tracking
- object tracking
- motion model
- kalman filter
- state space
- appearance model
- mean shift
- articulated body
- abrupt motion
- sequential monte carlo
- robust tracking
- face tracking
- tracking framework
- data association
- proposal distribution
- tracking scheme
- bayesian inference
- computer vision