2D Articulated Pose Tracking Using Particle Filter with Partitioned Sampling and Model Constraints

Mice and larvae tracking using a particl

Mice and larvae tracking using a particle filter with an auto-adjustable observation model

✍ Hemerson Pistori; Valguima Victoria Viana Aguiar Odakura; João Bosco Oliveira Mo 📂 Article 📅 2010 🏛 Elsevier Science 🌐 English ⚖ 830 KB

This paper proposes a novel way to combine different observation models in a particle filter framework. This, so called, auto-adjustable observation model, enhance the particle filter accuracy when the tracked objects overlap without infringing a great runtime penalty to the whole tracking system. T