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» Using Histograms to Detect and Track Objects in Color Video
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ICPR
2008
IEEE
14 years 2 months ago
Automatic face and facial features initialization for robust and accurate tracking
Face detection and tracking, through image sequences, are primary steps in many applications such as video surveillance, human computer interface, and expression analysis. Many cu...
Murad Al Haj, Javier Orozco, Jordi Gonzàlez...
CVPR
2012
IEEE
11 years 10 months ago
Locally Orderless Tracking
Locally Orderless Tracking (LOT) is a visual tracking algorithm that automatically estimates the amount of local (dis)order in the object. This lets the tracker specialize in both...
Shaul Oron, Aharon Bar-Hillel, Dan Levi, Shai Avid...
ECCV
2004
Springer
14 years 9 months ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
ICPR
2006
IEEE
14 years 8 months ago
Fast Dynamic Mosaicing and Person Following
A system for video surveillance purposes in wide areas based on active cameras, also capable to follow a person in the scene by keeping him framed, is presented. The proposed appr...
Andrea Prati, Fabrizio Seghedoni, Rita Cucchiara
ECCV
2010
Springer
13 years 8 months ago
Segmenting Salient Objects from Images and Videos
Abstract. In this paper we introduce a new salient object segmentation method, which is based on combining a saliency measure with a conditional random field (CRF) model. The propo...
Esa Rahtu, Juho Kannala, Mikko Salo, Janne Heikkil...