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155
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ECCV
2000
Springer
16 years 5 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
JUCS
2007
104views more  JUCS 2007»
15 years 3 months ago
Real-time Architecture for Robust Motion Estimation under Varying Illumination Conditions
: Motion estimation from image sequences is a complex problem which requires high computing resources and is highly affected by changes in the illumination conditions in most of th...
Javier Díaz, Eduardo Ros, Rafael Rodr&iacut...
147
Voted
PAMI
2010
238views more  PAMI 2010»
15 years 1 months ago
Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes
—We present a generative model and inference algorithm for 3D nonrigid object tracking. The model, which we call G-flow, enables the joint inference of 3D position, orientation, ...
Tim K. Marks, John R. Hershey, Javier R. Movellan
ECCV
2004
Springer
15 years 7 months ago
Galilean Differential Geometry of Moving Images
In this paper we develop a systematic theory about local structure of moving images in terms of Galilean differential invariants. We argue that Galilean invariants are useful for s...
Daniel Fagerström
120
Voted
ICPR
2008
IEEE
15 years 9 months ago
A novel method for real-time multiple moving targets detection from moving IR camera
This paper presents a novel method for detecting multiple moving targets in real-time from infrared (IR) image sequences collected by an airborne IR camera. This novel method is b...
Fenghui Yao, Ali Sekmen, Mohan Malkani