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TCSV
2008
148views more  TCSV 2008»
15 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
SCVMA
2004
Springer
15 years 9 months ago
Segregation of Moving Objects Using Elastic Matching
We present a method for figure-ground segregation of moving objects from monocular video sequences. The approach is based on tracking extracted contour fragments, in contrast to ...
Vishal Jain, Benjamin B. Kimia, Joseph L. Mundy
ICCV
2001
IEEE
16 years 6 months ago
Stripe Boundary Codes for Real-Time Structured-Light Range Scanning of Moving Objects
We present a novel approach to real-time structured light range scanning. After an analysis of the underlying assumptions of existing structured light techniques, we derive a new ...
Olaf A. Hall-Holt, Szymon Rusinkiewicz
ICIP
2008
IEEE
15 years 11 months ago
An adaptive background model initialization algorithm with objects moving at different depths
Background subtraction is an essential element in most object tracking and video surveillance systems. The success of this low-level processing step is highly dependent on the qua...
Chia-Chih Chen, J. K. Aggarwal
ECCV
2006
Springer
15 years 8 months ago
Robust 3D Segmentation of Multiple Moving Objects Under Weak Perspective
A scene containing multiple independently moving, possibly occluding, rigid objects is considered under the weak perspective camera model. We obtain a set of feature points tracke...
Levente Hajder, Dmitry Chetverikov