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NIPS
2004
15 years 6 months ago
Constraining a Bayesian Model of Human Visual Speed Perception
It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distri...
Alan Stocker, Eero P. Simoncelli
ISCAS
2006
IEEE
116views Hardware» more  ISCAS 2006»
15 years 11 months ago
Wavelet based detection of moving tree branches and leaves in video
—A method for detection of tree branches and leaves in video is proposed. It is observed that the motion vectors of tree branches and leaves exhibit random motion. On the other h...
B. Ugur Töreyin, A. Enis Çetin
CVPR
2006
IEEE
16 years 7 months ago
Classifying Human Dynamics Without Contact Forces
We develop a classification algorithm for hybrid autoregressive models of human motion for the purpose of videobased analysis and recognition. We assume that some temporal statist...
Alessandro Bissacco, Stefano Soatto
ICIP
2007
IEEE
15 years 9 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
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 12 months ago
3D Human Motion Tracking Using Dynamic Probabilistic Latent Semantic Analysis
We propose a generative statistical approach to human motion modeling and tracking that utilizes probabilistic latent semantic (PLSA) models to describe the mapping of image featu...
Kooksang Moon, Vladimir Pavlovic