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ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
16 years 4 months 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
CVPR
2008
IEEE
16 years 1 months ago
Real time object tracking based on dynamic feature grouping with background subtraction
Object detection and tracking has various application areas including intelligent transportation systems. We introduce an object detection and tracking approach that combines the ...
ZuWhan Kim
CODES
2005
IEEE
15 years 5 months ago
An architectural level design methodology for embedded face detection
Face detection and recognition research has attracted great attention in recent years. Automatic face detection has great potential in a large array of application areas, includin...
Vida Kianzad, Sankalita Saha, Jason Schlessman, Ga...
ICIP
2010
IEEE
14 years 9 months ago
Acquiring shaking-free route panorama by stationary blurring
This work obtains shaking-free route panoramas from a vehicle borne camera. We detect the shaking and waving profile of the camera and rectify a long route panorama automatically ...
Hongyuan Cai, Jiang Yu Zheng, Hiromi T. Tanaka
ICPR
2008
IEEE
16 years 27 days ago
Learning motion patterns in crowded scenes using motion flow field
Learning typical motion patterns or activities from videos of crowded scenes is an important visual surveillance problem. To detect typical motion patterns in crowded scenarios, w...
Min Hu, Mubarak Shah, Saad Ali