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» Modelling Crowd Scenes for Event Detection
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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
ICIP
2009
IEEE
13 years 5 months ago
An efficient and robust sequential algorithm for background estimation in video surveillance
Many computer vision algorithms such as object tracking and event detection assume that a background model of the scene under analysis is known. However, in many practical circums...
Vikas Reddy, Conrad Sanderson, Brian C. Lovell
JMM2
2007
212views more  JMM2 2007»
13 years 7 months ago
Flux Tensor Constrained Geodesic Active Contours with Sensor Fusion for Persistent Object Tracking
— This paper makes new contributions in motion detection, object segmentation and trajectory estimation to create a successful object tracking system. A new efficient motion det...
Filiz Bunyak, Kannappan Palaniappan, Sumit Kumar N...
RIAO
2000
13 years 8 months ago
Speaker change detection using joint audio-visual statistics
In this paper, we present an approach for speaker change detection in broadcast video using joint audio-visual scene change statistics. Our experiments indicate that using joint a...
Giridharan Iyengar, Chalapathy Neti, Sankar Basu
WAPCV
2007
Springer
14 years 1 months ago
A Proto-object Based Visual Attention Model
One of the first steps of any visual system is that of locating suitable interest points, ‘salient regions’, in the scene, to detect events, and eventually to direct gaze towa...
Francesco Orabona, Giorgio Metta, Giulio Sandini