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CVPR
1997
IEEE
16 years 3 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 2 months 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»
15 years 1 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 7 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 8 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