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» Model-Based Motion Clustering Using Boosted Mixture Modeling
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ICIP
2004
IEEE
14 years 10 months ago
Stochastic modeling of volume images with a 3-d hidden markov model
Over the years, researchers in the image analysis community have successfully used various statistical modeling methods to segment, classify, and annotate digital images. In this ...
Jia Li, Dhiraj Joshi, James Ze Wang
ICCV
2003
IEEE
14 years 10 months ago
Automatic Video Summarization by Graph Modeling
We propose a unified approach for summarization based on the analysis of video structures and video highlights. Our approach emphasizes both the content balance and perceptual qua...
Chong-Wah Ngo, Yu-Fei Ma, HongJiang Zhang
ICIP
2007
IEEE
14 years 12 days 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
FGR
2002
IEEE
189views Biometrics» more  FGR 2002»
14 years 1 months ago
Clustering Contextual Facial Display Sequences
We describe a method for learning classes of facial motion patterns from video of a human interacting with a computerized embodied agent. The method also learns correlations betwe...
Jesse Hoey
ICIP
2005
IEEE
14 years 2 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...