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CVPR
1998
IEEE
15 years 11 months ago
Joint Probabilistic Techniques for Tracking Multi-Part Objects
Common objects such as people and cars comprise many visual parts and attributes, yet image-based tracking algorithms are often keyed to only one of a target's identifying ch...
Christopher Rasmussen, Gregory D. Hager
CRV
2008
IEEE
295views Robotics» more  CRV 2008»
15 years 4 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
IBPRIA
2005
Springer
15 years 3 months ago
A 3D Dynamic Model of Human Actions for Probabilistic Image Tracking
Abstract. In this paper we present a method suitable to be used for human tracking as a temporal prior in a particle filtering framework such as CONDENSATION [5]. This method is f...
Ignasi Rius, Daniel Rowe, Jordi Gonzàlez, F...
ICPR
2010
IEEE
15 years 4 months ago
A Unified Probabilistic Approach to Feature Matching and Object Segmentation
This paper deals with feature matching and segmentation of common objects in a pair of images, simultaneously. For the feature matching problem, the matching likelihoods of all fea...
Tae Hoon Kim (Seoul National University), Kyoung M...
83
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ICIP
2003
IEEE
15 years 11 months ago
Audio-visual speaker tracking with importance particle filters
We present a probabilistic method for audio-visual (AV) speaker tracking, using an uncalibrated wide-angle camera and a microphone array. The algorithm fuses 2-D object shape and ...
Daniel Gatica-Perez, Guillaume Lathoud, Iain McCow...