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» Non-parametric Model for Background Subtraction
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CVPR
2008
IEEE
14 years 9 months ago
Kernel-based learning of cast shadows from a physical model of light sources and surfaces for low-level segmentation
In background subtraction, cast shadows induce silhouette distortions and object fusions hindering performance of high level algorithms in scene monitoring. We introduce a nonpara...
André Zaccarin, Nicolas Martel-Brisson
TCSV
2010
13 years 2 months ago
Video Foreground Detection Based on Symmetric Alpha-Stable Mixture Models
Background subtraction (BS) is an efficient technique for detecting moving objects in video sequences. A simple BS process involves building a model of the background and extractin...
Harish Bhaskar, Lyudmila Mihaylova, Alin Achim
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
ICIAP
2007
ACM
14 years 7 months ago
A Framework for False Positive Suppression in Video Segmentation
Object detection in video surveillance is typically done through background subtraction or temporal differencing. While these techniques perform very well under scenes where there...
Min Han Tun, Geoff A. W. West, Tele Tan
ECCV
2002
Springer
14 years 9 months ago
Model-Based Silhouette Extraction for Accurate People Tracking
Abstract. In this work, we introduce a model-based approach to extracting the silhouette of people in motion from stereo video sequences. To this end, we extend a purely stereo-bas...
Pascal Fua, Ralf Plänkers