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» Nonparametric Density Estimation for Human Pose Tracking
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AMDO
2010
Springer
14 years 11 months ago
Compatible Particles for Part-Based Tracking
Particle Filter methods are one of the dominant tracking paradigms due to its ability to handle non-gaussian processes, multimodality and temporal consistency. Traditionally, the e...
Brais Martínez, Marc Vivet, Xavier Binefa
FGR
2006
IEEE
148views Biometrics» more  FGR 2006»
15 years 7 months ago
Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model
Characteristics of the 2D shape deformation in human motion contain rich information for human identification and pose estimation. In this paper, we introduce a framework for sim...
Chan-Su Lee, Ahmed M. Elgammal
ICCV
2001
IEEE
16 years 3 months ago
The Variable Bandwidth Mean Shift and Data-Driven Scale Selection
We present two solutions for the scale selection problem in computer vision. The rst one is completely nonparametric and is based on the the adaptive estimation of the normalized ...
Dorin Comaniciu, Visvanathan Ramesh, Peter Meer
ICPR
2004
IEEE
16 years 2 months ago
Visual Learning and Recognition of a Probabilistic Spatio-Temporal Model of Cyclic Human Locomotion
We present a novel representation of cyclic human locomotion based on a set of spatio-temporal curves of tracked points on the surface of a person. We start by extracting a set of...
Miha Peternel, Ales Leonardis
ICPR
2008
IEEE
16 years 2 months ago
Analysis of human behaviour in front of a target scene
In this paper we present an application of computer vision techniques to obtain specific information about the behaviour of the people passing in front of a target scene. This is ...
Adel Lablack, Chabane Djeraba