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» Tracking Complex Objects Using Graphical Object Models
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119
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ICPR
2006
IEEE
16 years 3 months ago
Real-Time Camera Tracking Using Known 3D Models and a Particle Filter
We present an algorithm which can track the 3D pose of a hand held camera in real-time using predefined models of objects in the scene. The technique utilises and extends recently...
Mark Pupilli, Andrew Calway
124
Voted
CVPR
2004
IEEE
16 years 4 months ago
Linear Model Hashing and Batch RANSAC for Rapid and Accurate Object Recognition
This paper proposes a joint feature-based model indexing and geometric constraint based alignment pipeline for efficient and accurate recognition of 3D objects from a large model ...
Ying Shan, Bogdan Matei, Harpreet S. Sawhney, Rake...
CGI
2001
IEEE
15 years 5 months ago
A Hybrid Approach to the Recovery of Deformable Superquadric Models from 3D Data
The problem of recovering the shape of objects from three-dimensional data is important to many areas of computer graphics and vision. We present here a method for the recovery of...
James Sinnott, Toby Howard
VIP
2003
15 years 3 months ago
Tracking Using CamShift Algorithm and Multiple Quantized Feature Spaces
The Continuously Adaptive Mean Shift Algorithm (CamShift) is an adaptation of the Mean Shift algorithm for object tracking that is intended as a step towards head and face trackin...
John G. Allen, Richard Y. D. Xu, Jesse S. Jin
ICCV
2009
IEEE
2030views Computer Vision» more  ICCV 2009»
16 years 7 months ago
Robust Tracking-by-Detection using a Detector Confidence Particle Filter
We propose a novel approach for multi-person trackingby- detection in a particle filtering framework. In addition to final high-confidence detections, our algorithm uses the con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...