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» Moving Object Segmentation Based on Human Visual Sensitivity
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BMCV
2000
Springer
13 years 9 months ago
Moving Object Segmentation Based on Human Visual Sensitivity
Kuk-Jin Yoon, In-So Kweon, Chang-Yeong Kim, Yang-S...
ICASSP
2011
IEEE
12 years 8 months ago
A general Bayesian algorithm for visual object tracking based on sparse features
This paper describes a Bayesian algorithm for rigid/non-rigid 2D visual object tracking based on sparse image features. The algorithm is inspired by the way human visual cortex se...
Mauricio Soto Alvarez, Carlo S. Regazzoni
TIP
2008
344views more  TIP 2008»
13 years 4 months ago
A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications
Detection of moving objects in video streams is the first relevant step of information extraction in many computer vision applications. Aside from the intrinsic usefulness of being...
Lucia Maddalena, Alfredo Petrosino
IDA
2009
Springer
13 years 2 months ago
Trajectory Voting and Classification Based on Spatiotemporal Similarity in Moving Object Databases
We propose a method for trajectory classification based on trajectory voting in Moving Object Databases (MOD). Trajectory voting is performed based on local trajectory similarity. ...
Costas Panagiotakis, Nikos Pelekis, Ioannis Kopana...
TCSV
2008
148views more  TCSV 2008»
13 years 4 months ago
Modeling Background and Segmenting Moving Objects from Compressed Video
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...
Weiqiang Wang, Jie Yang, Wen Gao