Recently

as a difficult problem in video object tracking non-rigid object tracking has received much more attention. To track non-rigid objects exactly and solve the problem caused by shape deformation

this paper proposes a non-rigid object tracking algorithm based on active basis model. Firstly

the object active basis model was learned from the training set using a shared sketch algorithm. Secondly

the learned active model is embedded in a particle filter. The experimental results show that our algorithm is more robust than other methods when non-rigid object has shape deformation and occlusion happens.