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» Tracking multiple objects in non-stationary video
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ICRA
2005
IEEE
105views Robotics» more  ICRA 2005»
14 years 1 months ago
Learning Activity-Based Ground Models from a Moving Helicopter Platform
— We present a method for learning activity-based ground models based on a multiple particle filter approach to motion tracking in video acquired from a moving aerial platform. ...
Andrew Lookingbill, David Lieb, David Stavens, Seb...
TOMCCAP
2010
202views more  TOMCCAP 2010»
13 years 2 months ago
Audio-visual atoms for generic video concept classification
We investigate the challenging issue of joint audio-visual analysis of generic videos targeting at semantic concept detection. We propose to extract a novel representation, the Sh...
Wei Jiang, Courtenay V. Cotton, Shih-Fu Chang, Dan...
CLOR
2006
13 years 11 months ago
Sequential Learning of Layered Models from Video
Abstract. A popular framework for the interpretation of image sequences is the layers or sprite model, see e.g. [1], [2]. Jojic and Frey [3] provide a generative probabilistic mode...
Michalis K. Titsias, Christopher K. I. Williams
AVSS
2008
IEEE
14 years 2 months ago
Robust Unattended and Stolen Object Detection by Fusing Simple Algorithms
In this paper a new approach for detecting unattended or stolen objects in surveillance video is proposed. It is based on the fusion of evidence provided by three simple detectors...
Juan Carlos San Miguel, José María M...
IVC
2010
121views more  IVC 2010»
13 years 6 months ago
Multiview segmentation and tracking of dynamic occluding layers
We present an algorithm for the layered segmentation of video data in multiple views. The approach is based on computing the parameters of a layered representation of the scene in...
Ian D. Reid, Keith Connor