Para acceder a los documentos con el texto completo, por favor, siga el siguiente enlace: http://hdl.handle.net/10256/2246

Enhanced Model Selection for motion segmentation
Zappella, Luca; Lladó Bardera, Xavier; Salvi Mas, Joaquim
In this paper a novel rank estimation technique for trajectories motion segmentation within the Local Subspace Affinity (LSA) framework is presented. This technique, called Enhanced Model Selection (EMS), is based on the relationship between the estimated rank of the trajectory matrix and the affinity matrix built by LSA. The results on synthetic and real data show that without any a priori knowledge, EMS automatically provides an accurate and robust rank estimation, improving the accuracy of the final motion segmentation
17-05-2010
Imatges -- Processament
Imatges -- Transmissió
Visió per ordinador
Computer vision
Image processing
Image transmission
Tots els drets reservats
Artículo
IEEE
         

Mostrar el registro completo del ítem

Documentos relacionados

Otros documentos del mismo autor/a

Zappella, Luca; Lladó Bardera, Xavier; Salvi, Joaquim
Freixenet i Bosch, Jordi; Lladó Bardera, Xavier; Martí Bonmatí, Joan; Cufí i Solé, Xavier
Masias Moyset, Marc; Freixenet i Bosch, Jordi; Lladó Bardera, Xavier; Peracaula i Bosch, Marta