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» Learning to Track Multiple People in Omnidirectional Video
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NIPS
2007
13 years 9 months ago
People Tracking with the Laplacian Eigenmaps Latent Variable Model
Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking usi...
Zhengdong Lu, Miguel Á. Carreira-Perpi&ntil...
CVPR
2004
IEEE
14 years 10 months ago
Tracking Loose-Limbed People
We pose the problem of 3D human tracking as one of inference in a graphical model. Unlike traditional kinematic tree representations, our model of the body is a collection of loos...
Leonid Sigal, Sidharth Bhatia, Stefan Roth, Michae...
AAAI
2008
13 years 10 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
ICPR
2006
IEEE
14 years 9 months ago
ViSE: Visual Search Engine Using Multiple Networked Cameras
We propose a Visual Search Engine (ViSE) as a semi-automatic component in a surveillance system using networked cameras. The ViSE aims to assist the monitoring operation of huge a...
Anil K. Jain, Itaru Kitahara, Kiyoshi Kogure, Nori...
ICRA
2009
IEEE
164views Robotics» more  ICRA 2009»
14 years 2 months ago
Assigning cameras to subjects in video surveillance systems
— We consider the problem of tracking multiple agents moving amongst obstacles, using multiple cameras. Given an environment with obstacles, and many people moving through it, we...
Hazem El-Alfy, David Jacobs, Larry Davis