Learning Decompositional Shape Models from Examples Alex Levinshtein Cristian Sminchisescu Sven Dickinson University of Toronto Hierarchical Models Our goal ...
Pedestrian Detection. Histograms of Oriented Gradients for Human Detection ... Wide variety of articulated poses. Variable appearance/clothing. Complex backgrounds ...
Title: Learning Decompositional Models from Examples Author: Alex Last modified by: Alex Created Date: 11/4/2004 10:56:19 PM Document presentation format
Extracting attachment relations ... Future work Construct models for objects other ... Number of times blobs from the two clusters co-appeared in an image.
Real-time articulated body tracking from stereo accounting for constraints on pose ... Differential tracking: assuming the articulated body pose Pt-1 is known, ...
Prune skeletal branches that don't contribute to the salient shape structure of the object. ... low-saliency candidate internal branches until cost function is ...
hyperdynamics' : MCMC sampling in a modified cost surface that focuses samples on saddles ... Moving cost has a local maximum at a saddle point. Hyperdynamics ...
... (Sign Language Recognition, Head Gesture, etc.) Many variations have been proposed (see e.g., coupled HMMs). More recently, Conditional Random Fields ...
3D Articular Human Tracking from Monocular Video. From Condensation to Kinematic Jumps ... 3D articular human tracking from monocular video. A hard problem owing to ...