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CVPR
2008
IEEE
14 years 9 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
ICRA
2007
IEEE
170views Robotics» more  ICRA 2007»
14 years 1 months ago
Space-time A Contrario Clustering for Detecting Coherent Motions
Abstract— This paper presents a method for detecting independent temporally-persistent motion patterns in image sequences. The result is a description of the dynamic content of a...
Thomas Veit, Frédéric Cao, Patrick B...
CVPR
2009
IEEE
15 years 2 months ago
Multi-Camera Activity Correlation Analysis
We propose a novel approach for modelling correlations between activities in a busy public space captured by multiple non-overlapping and uncalibrated cameras. In our approach, ...
Chen Change Loy (Queen Mary, University of London)...
IPCV
2007
13 years 8 months ago
Tracking Multiple Sports Players for Mobile Display
- An architecture system and a method for tracking people are presented for sports applications. The system’s input is video data from static camera and the output is the real wo...
Andreas Aristidou, Paul Pangalos, Hamid Aghvami
WAPCV
2007
Springer
14 years 1 months ago
Language Label Learning for Visual Concepts Discovered from Video Sequences
Computational models of grounded language learning have been based on the premise that words and concepts are learned simultaneously. Given the mounting cognitive evidence for conc...
Prithwijit Guha, Amitabha Mukerjee