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WCE
2007
13 years 8 months ago
Motion Detection Based On Accumulative Optical Flow and Double Background Filtering
—Moving object detection is very important for video surveillance. In this paper, we present a new real time motion detection algorithm that is based on the integration of accumu...
Nan Lu, Jihong Wang, Li Yang, Q. Henry Wu
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
15 years 11 days ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade
ICIP
2006
IEEE
14 years 9 months ago
Estimation of Dynamic Background for Fluorescence Video-Microscopy
This paper describes a method for separating moving objects from temporally varying background in time-lapse confocal microscopy image sequences representing fluorescently tagged ...
Charles Kervrann, Jérôme Boulanger, P...
TROB
2008
118views more  TROB 2008»
13 years 7 months ago
A New Kalman-Filter-Based Framework for Fast and Accurate Visual Tracking of Rigid Objects
The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty ...
Youngrock Yoon, Akio Kosaka, Avinash C. Kak
ISVC
2009
Springer
14 years 1 months ago
Measurement of Pedestrian Groups Using Subtraction Stereo
In this paper, detection of pedestrian groups and counting of the number of pedestrians in each group using “subtraction stereo” are discussed. Subtraction stereo is a stereo v...
Kenji Terabayashi, Yuki Hashimoto, Kazunori Umeda