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» Super-Resolution on Moving Objects and Background
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CVPR
2005
IEEE
16 years 1 months ago
Bayesian Object Detection in Dynamic Scenes
Detecting moving objects using stationary cameras is an important precursor to many activity recognition, object recognition and tracking algorithms. In this paper, three innovati...
Yaser Sheikh, Mubarak Shah
EUROGP
2009
Springer
143views Optimization» more  EUROGP 2009»
14 years 9 months ago
A Real-Time Evolutionary Object Recognition System
We have created a real-time evolutionary object recognition system. Genetic Programming is used to automatically search the space of possible computer vision programs guided throug...
Marc Ebner
ICMCS
2007
IEEE
127views Multimedia» more  ICMCS 2007»
15 years 6 months ago
Joint Motion and Color Statistical Video Processing for Motion Segmentation
Vast amounts of digital multimedia data are being produced and distributed today, so methods for the efficient and reliable extraction of information from video data are becoming...
Alexia Briassouli, Vasileios Mezaris, Yiannis Komp...
JMM2
2006
141views more  JMM2 2006»
14 years 11 months ago
Human Tracking by Fast Mean Shift Mode Seeking
Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel ...
Csaba Beleznai, Bernhard Frühstück, Hors...
ACIVS
2007
Springer
15 years 3 months ago
Joint Domain-Range Modeling of Dynamic Scenes with Adaptive Kernel Bandwidth
Abstract. The first step in various computer vision applications is a detection of moving objects. The prevalent pixel-wise models regard image pixels as independent random process...
Borislav Antic, Vladimir S. Crnojevic