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MVA
2002
188views Computer Vision» more  MVA 2002»
13 years 4 months ago
Adaptive Background Estimation for Object Tracking
2 Adaptive Background Model Tracking people has received considerable attention by computer vision researchers. Interest is motivated by the broad range of potential applications s...
Ryunosuke Itoh, Yoshio Iwai, Masahiko Yachida
MVA
2002
226views Computer Vision» more  MVA 2002»
13 years 4 months ago
Adaptive Background Estimation and Shadow Removal in Indoor Scenes
2 Background Model Background subtraction algorithm is susceptible to both global and local illumination changes such as shadows, sunlight and reflection. These changes sometimes c...
Junya Morita, Yoshio Iwai, Masahiko Yachida
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
14 years 7 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
ACCV
2006
Springer
13 years 11 months ago
Object Tracking Using Background Subtraction and Motion Estimation in MPEG Videos
We present a fast and robust method for moving object tracking directly in the compressed domain using features available in MPEG videos. DCT domain background subtraction in Y pla...
Ashwani Aggarwal, Susmit Biswas, Sandeep Singh, Sh...
CVPR
2012
IEEE
11 years 7 months ago
Adaptive object tracking by learning background context
One challenge when tracking objects is to adapt the object representation depending on the scene context to account for changes in illumination, coloring, scaling, etc. Here, we p...
Ali Borji, Simone Frintrop, Dicky N. Sihite, Laure...