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» Super-Resolution on Moving Objects and Background
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ACCV
2010
Springer
14 years 11 months ago
A Phase Discrepancy Analysis of Object Motion
Abstract. Detecting moving objects against dynamic backgrounds remains a challenge in computer vision and robotics. This paper presents a surprisingly simple algorithm to detect ob...
Bolei Zhou, Xiaodi Hou, Liqing Zhang
CVPR
2009
IEEE
1848views Computer Vision» more  CVPR 2009»
16 years 9 months ago
Moving Cast Shadow Detection using Physics-based Features
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...
Jia-Bin Huang and Chu-Song Chen
ICIP
1997
IEEE
16 years 5 months ago
Detecting and Solving Template Ambiguities in Motion Segmentation
When the color or gray level of a moving object is very similar to that of the background, motion-based segmentation methods fail. This leads to ambiguous templates for the moving...
José M. F. Moura, Pedro M. Q. Aguiar
CVPR
2007
IEEE
16 years 6 months ago
Thermal-Visible Video Fusion for Moving Target Tracking and Pedestrian Classification
The paper presents a fusion-tracker and pedestrian classifier for color and thermal cameras. The tracker builds a background model as a multi-modal distribution of colors and temp...
Alex Leykin, Yang Ran, Riad I. Hammoud
ICCV
2009
IEEE
3166views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Detection and Removal of Chromatic Moving Shadows in Surveillance Scenarios
Segmentation in the surveillance domain has to deal with shadows to avoid distortions when detecting moving objects. Most segmentation approaches dealing with shadow detection are ...
Ivan Huerta, Michael Holte, Thomas Moeslund, and J...