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» Optical Flow Estimation Using Learned Sparse Model
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MM
2004
ACM
212views Multimedia» more  MM 2004»
15 years 2 months ago
Nonparametric motion model
Motion information is a powerful cue for visual perception. In the context of video indexing and retrieval, motion content serves as a useful source for compact video representati...
Ling-Yu Duan, Min Xu, Qi Tian, Changsheng Xu
ICPR
2002
IEEE
15 years 10 months ago
Regularized Patch Motion Estimation
This paper presents a new formulation of the problem of motion estimation which attempts to give solutions to classical problems in the field, such as detection of motion disconti...
Ioannis Patras, Marcel Worring
108
Voted
FGR
2000
IEEE
230views Biometrics» more  FGR 2000»
15 years 1 months ago
A Robust Model-Based Approach for 3D Head Tracking in Video Sequences
We present a generic and robust method for model-based global 3D head pose estimation in monocular and non-calibrated video sequences. The proposed method relies on a 3D/2D matchi...
Marius Malciu, Françoise J. Prêteux
72
Voted
ICML
2004
IEEE
15 years 10 months ago
Learning random walk models for inducing word dependency distributions
Many NLP tasks rely on accurately estimating word dependency probabilities P(w1|w2), where the words w1 and w2 have a particular relationship (such as verb-object). Because of the...
Kristina Toutanova, Christopher D. Manning, Andrew...
ICIP
2007
IEEE
15 years 1 months ago
Real-Time Pedestrian Detection using Eigenflow
We propose a novel learning algorithm to detect moving pedestrians from a stationary camera in real-time. The algorithm learns a discriminative model based on eigenflow, i.e. the ...
Dhiraj Goel, Tsuhan Chen