Oct 31, 2012 · This paper proposes a sparse spatial-temporal local binary pattern (SST-LBP) descriptor to extract dynamic texture of the walking crowd.

A sparse spatial-temporal local binary pattern (SST-LBP) descriptor to extract dynamic texture of the walking crowd which can be applied to the crowd ...

This paper proposes a sparse spatial-temporal local binary pattern (SST-LBP) descriptor to extract dynamic texture of the walking crowd which can be applied to ...

Yang et al. [21] extracted spatial-temporal features from the moving crowd scene using a sparse-spatial-temporal local binary pattern (SST-LBP) descriptor ...

Afterwards, consider- ing the spatial and temporal symmetry, the authors propose a sparse spatiotemporal local binary pattern algorithm and uti- lize its ...

Afterwards, considering the spatial and temporal symmetry, the authors propose a sparse spatiotemporal local binary pattern algorithm and utilize its ...

Apr 17, 2018 · As a particular class of public security issues, the large-scale crowd analysis plays a very important role in video surveillance application.

This approach consists of an interest points detection followed by spatio-temporal feature extraction. A rotation invariant spatio-temporal local binary (RIST- ...

ABSTRACT. Crowd density analysis is a crucial component in visual surveillance for security monitoring. This paper proposes a novel approach for crowd ...

This paper proposes a scheme for modeling and classification of dynamic textures using a local image descriptor which efficiently encodes texture information in ...