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CVPR
1997
IEEE
16 years 1 months ago
Learning Parameterized Models of Image Motion
A framework for learning parameterized models of optical flow from image sequences is presented. A class of motions is represented by a set of orthogonal basis flow fields that ar...
Michael J. Black, Yaser Yacoob, Allan D. Jepson, D...
ICIP
2009
IEEE
16 years 22 days ago
Estimation And Analysis Of Urban Traffic Flow
This paper describes methods for extracting traffic flow information from urban traffic scenes. The ultimate goal is to collect a macroscopic view of traffic flow information in a...
PAMI
2002
177views more  PAMI 2002»
14 years 11 months ago
Adjusting Shape Parameters Using Model-Based Optical Flow Residuals
We present a method for estimating the shape of a deformable model using the least-squares residuals from a model-based optical flow computation. This method is built on top of an...
Douglas DeCarlo, Dimitris N. Metaxas
GLOBECOM
2006
IEEE
15 years 5 months ago
Performance Enhancement in OBS Network with Flow Control and Edge Delay Method
— This paper examines burst contention resolution problems in optical burst switching (OBS) networks. Since burst contentions take place i) when the network is congested by incre...
Won-Seok Park, Minsu Shin, Song Chong
BROADNETS
2007
IEEE
15 years 6 months ago
Reduced flow routing: Leveraging residual capacity to reduce blocking in GMPLS networks
— Traffic engineering has been extensively studied to maximize network resource utilization while minimizing call blocking [1]. As the the demand for high data rate services ove...
Xiaolan J. Zhang, Sun-il Kim, Steven S. Lumetta