Sciweavers

2138 search results - page 4 / 428
» Understanding dynamic scenes
Sort
View
CVPR
2008
IEEE
14 years 11 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
ICCV
2009
IEEE
6637views Computer Vision» more  ICCV 2009»
15 years 2 months ago
A Markov Clustering Topic Model for Mining Behaviour in Video
This paper addresses the problem of fully automated mining of public space video data. A novel Markov Clustering Topic Model (MCTM) is introduced which builds on existing Dynami...
Timothy Hospedales, Shaogang Gong, Tao Xiang
AVSS
2005
IEEE
14 years 3 months ago
Video surveillance for aircraft activity monitoring
— 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...
APGV
2010
ACM
288views Visualization» more  APGV 2010»
14 years 1 months ago
Statistical regularities in low and high dynamic range images
Computer graphics as well as related disciplines often benefit from understanding the human visual system and its input. In this paper, we study statistical regularities of both ...
Tania Pouli, Douglas Cunningham, Erik Reinhard
CVPR
2010
IEEE
14 years 5 months ago
Efficiently Selecting Regions for Scene Understanding
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 ...
M. Pawan Kumar, Daphne Koller