In video surveillance, automatic methods for scene understanding and activity modeling can exploit the high redundancy of object trajectories observed over a long period of time. ...
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Since most current scene understanding approaches operate
either on the 2D image or using a surface-based representation, they do
not allow reasoning about the physical constrain...
The interpretation by a human of a scene in video material is heavily influenced by the context of the scene. As a result, researchers have recently made more use of context in th...
Ilias Kolonias, William J. Christmas, Josef Kittle...
Abstract. In the field of the service robots, object detection and scene understanding are very important. Conventional methods for object detection are performed with the geometri...
Abstract. This paper presents a complete visual surveillance system for automatic scene interpretation of airport aprons. The system comprises two main modules — Scene Tracking a...
James M. Ferryman, Mark Borg, David Thirde, Floren...
— This paper presents a complete visual surveillance system for the automatic scene interpretation of airport aprons. The system comprises two modules — Scene Tracking and Scen...
Mark Borg, David Thirde, James M. Ferryman, Floren...
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
Recent advances in scene understanding and related tasks
have highlighted the importance of using regions to reason
about high-level scene structure. Typically, the regions are
...
In this paper we propose a novel computational method to infer visual saliency in images. The method is based on the idea that salient objects should have local characteristics tha...