Details

Autor(en) / Beteiligte

• Chang, Jason
• Fisher, John W.

Titel

Topology-Constrained Layered Tracking with Latent Flow

Ist Teil von

• 2013 IEEE International Conference on Computer Vision, 2013, p.161-168

Ort / Verlag

IEEE

Erscheinungsjahr

2013

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• We present an integrated probabilistic model for layered object tracking that combines dynamics on implicit shape representations, topological shape constraints, adaptive appearance models, and layered flow. The generative model combines the evolution of appearances and layer shapes with a Gaussian process flow and explicit layer ordering. Efficient MCMC sampling algorithms are developed to enable a particle filtering approach while reasoning about the distribution of object boundaries in video. We demonstrate the utility of the proposed tracking algorithm on a wide variety of video sources while achieving state-of-the-art results on a boundary-accurate tracking dataset.