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» Statistical Models of Appearance for Computer Vision
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ICCV
2009
IEEE
16 years 8 months ago
Adaptive Fragments-Based Tracking of Non-Rigid Objects Using Level Sets
We present an approach to visual tracking based on dividing a target into multiple regions, or fragments. The target is represented by a Gaussian mixture model in a joint feature...
Prakash Chockalingam, Nalin Pradeep
142
Voted
CVPR
2005
IEEE
16 years 5 months ago
Face Recognition with Image Sets Using Manifold Density Divergence
In many automatic face recognition applications, a set of a person's face images is available rather than a single image. In this paper, we describe a novel method for face r...
Ognjen Arandjelovic, Gregory Shakhnarovich, John F...
ICPR
2008
IEEE
16 years 4 months ago
NorMaL: Non-compact Markovian Likelihood for change detection
This paper presents a new normalcy model of a scene for change detection using images taken from multiple views and varying illumination conditions. Each coregistered pixel site i...
David B. Cooper, Joseph L. Mundy, Osman Gokhan Sez...
149
Voted
ICPR
2006
IEEE
16 years 4 months ago
Real-Time 3D Articulated Pose Tracking using Particle Filters Interacting through Belief Propagation
This article proposes a new statistical model for fast 3D articulated body tracking, similar to the loose-limbed model, but where inter-frame coherence is taken into account by us...
Olivier Bernier
ICPR
2008
IEEE
15 years 10 months ago
Robust indoor activity recognition via boosting
In this paper, a novel statistical indoor activity recognition algorithm is introduced. While conditional random fields (CRFs) have prominent properties to this task, no optimal ...
Masamichi Shimosaka, Taketoshi Mori, Tomomasa Sato