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» A probabilistic framework for object recognition in video
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ECCV
2010
Springer
13 years 11 months ago
Probabilistic Deformable Surface Tracking From Multiple Videos
Abstract. In this paper, we address the problem of tracking the temporal evolution of arbitrary shapes observed in multi-camera setups. This is motivated by the ever growing number...
ICPR
2000
IEEE
14 years 8 months ago
Mixture Densities for Video Objects Recognition
The appearance of non-rigid objects detected and tracked in video streams is highly variable and therefore makes the identification of similar objects very complex. Furthermore, i...
Riad I. Hammoud, Roger Mohr
TCSV
2008
291views more  TCSV 2008»
13 years 7 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
ICMCS
2006
IEEE
149views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Improved Graphical Model for Audiovisual Object Tracking
Object tracking plays an important role in multimedia surveillance systems, in which the major types of data are video and audio captured by cameras and microphone arrays. In this...
Hao Tang, Thomas S. Huang
CVPR
2010
IEEE
14 years 4 months ago
A Hough Transform-Based Voting Framework for Action Recognition
We present a method to classify and localize human actions in video using a Hough transform voting framework. Random trees are trained to learn a mapping between densely-sampled f...
Angela Yao, Juergen Gall, Luc Van Gool