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» Tracking Across Multiple Cameras With Disjoint Views
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BMVC
1998
13 years 8 months ago
Learning to Associate Faces across Views in Vector Space of Similarities to Prototypes
We present a method for learning appearance models that can be used to recognise and track both 3D head pose and identities of novel subjects with continuous head movement across ...
Shaogang Gong, Eng-Jon Ong, Stephen J. McKenna
IJCV
2010
574views more  IJCV 2010»
13 years 6 months ago
Time-Delayed Correlation Analysis for Multi-Camera Activity Understanding
We propose a novel approach to understanding activities from their partial observations monitored through multiple non-overlapping cameras separated by unknown time gaps. In our...
Chen Change Loy, Tao Xiang, Shaogang Gong
ICIP
2004
IEEE
14 years 9 months ago
Tracking football players with multiple cameras
A system is described for tracking the positions of football players during a match. The input is eight video streams from static cameras, each processed to generate measurements ...
Ming Xu, James Orwell, Graeme A. Jones
ICPR
2000
IEEE
13 years 12 months ago
Simultaneous Tracking of Head Poses in a Panoramic View
In this paper we present an approach to simultaneously estimate gaze directions of multiple people in the view of a panoramic camera. Human faces are located and tracked using a p...
Rainer Stiefelhagen, Jie Yang, Alex Waibel
ICPR
2006
IEEE
14 years 8 months ago
Non-overlapping Distributed Tracking using Particle Filter
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...
Fee-Lee Lim, Tele Tan, Wilson S. Leoputra