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» Tracking Motion-Blurred Targets in Video
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ICCV
2007
IEEE
14 years 10 months ago
Adaptive enhancement and noise reduction in very low light-level video
A general methodology for noise reduction and contrast enhancement in very noisy image data with low dynamic range is presented. Video footage recorded in very dim light is especi...
Henrik Malm, Magnus Oskarsson, Eric Warrant, Petri...
GI
2009
Springer
13 years 6 months ago
Fusion of IR/CCD Video Streams and Digital Terrain Models for Multi Target Tracking
: Video Streams of optical camera system are analysed by a video processing software which detects moving objects in the video. They are presented in image pixel coordinates. With ...
Kaeye Dästner, Bastian Köhler, Felix Opi...
JEI
2006
246views more  JEI 2006»
13 years 8 months ago
Fuzzy logic recursive motion detection and denoising of video sequences
We propose a fuzzy logic recursive scheme for motion detection and spatiotemporal filtering that can deal with the Gaussian noise and unsteady illumination conditions in both the t...
Vladimir Zlokolica, Aleksandra Pizurica, Wilfried ...
ECCV
2010
Springer
14 years 1 months ago
A Stochastic Graph Evolution Framework for Robust Multi-Target Tracking
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...
ICPR
2008
IEEE
14 years 3 months ago
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking
The mean-shift (MS) algorithm is widely used in object tracking because of its speed and simplicity. However, it assumes certain overlap of object appearance and smooth change in ...
Zhidong Li, Jing Chen, Nicol N. Schraudolph