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» Segmenting Salient Objects from Images and Videos
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NIPS
2004
15 years 7 months ago
Contextual Models for Object Detection Using Boosted Random Fields
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
Antonio Torralba, Kevin P. Murphy, William T. Free...
CVPR
2008
IEEE
16 years 8 months ago
Unsupervised discovery of visual object class hierarchies
Objects in the world can be arranged into a hierarchy based on their semantic meaning (e.g. organism ? animal ? feline ? cat). What about defining a hierarchy based on the visual ...
Josef Sivic, Bryan C. Russell, Andrew Zisserman, W...
IWINAC
2011
Springer
14 years 9 months ago
Clustering of Trajectories in Video Surveillance Using Growing Neural Gas
Abstract. One of the more important issues in intelligent video surveillance systems is the ability to handle events from the motion of objects. Thus, the classification of the tr...
Javier Acevedo-Rodríguez, Saturnino Maldona...
CIVR
2009
Springer
221views Image Analysis» more  CIVR 2009»
16 years 1 months ago
Movie segmentation into scenes and chapters using locally weighted bag of visual words
Movies segmentation into semantically correlated units is a quite tedious task due to ”semantic gap”. Low-level features do not provide useful information about the semantical...
Vasileios Chasanis, Argyris Kalogeratos, Aristidis...
CVPR
2010
IEEE
1090views Computer Vision» more  CVPR 2010»
16 years 2 months ago
AAM based Face Tracking with Temporal Matching and Face Segmentation
Active Appearance Model (AAM) based face tracking has advantages of accurate alignment, high efficiency, and effectiveness for handling face deformation. However, AAM suffers fro...
Lin Liang