14 search results - page 1 / 3 » Compressive Sensing for Background Subtraction |
ECCV
2008
Springer
15 years 22 days ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...
ICIP
2004
IEEE
15 years 13 days ago
2004
IEEE
We present a new fast algorithm for background modeling and subtraction. Sample background values at each pixel are quantized into codebooks which represent a compressed form of b...
ACCV
2006
Springer
14 years 4 months ago
2006
Springer
We present a fast and robust method for moving object tracking directly in the compressed domain using features available in MPEG videos. DCT domain background subtraction in Y pla...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
This paper presents a cascaded scheme with block-based and pixel-based codebooks for background subtraction. The codebook is mainly used to compress information to achieve high ef...
TCSV
2008
13 years 10 months ago
2008
Abstract--Modeling background and segmenting moving objects are significant techniques for video surveillance and other video processing applications. Most existing methods of mode...