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» A Probabilistic Background Model for Tracking
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ROBOCUP
2007
Springer
208views Robotics» more  ROBOCUP 2007»
14 years 1 months ago
3D Tracking by Catadioptric Vision Based on Particle Filters
This paper presents a robust tracking system for autonomous robots equipped with omnidirectional cameras. The proposed method uses a 3D shape and color-based object model. This all...
Matteo Taiana, José António Gaspar, ...
DICTA
2007
13 years 9 months ago
Visual Tracking Based on Color Kernel Densities of Spatial Awareness
We propose a kernel-density based scheme that incorporates the object colors with their spatial relevance to track the object in a video sequence. The object is modeled by the col...
Zhuan Qing Huang, Zhuhan Jiang
PAMI
2010
238views more  PAMI 2010»
13 years 6 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
ICPR
2006
IEEE
14 years 8 months ago
Tracking 3D Human Body using Particle Filter in Moving Monocular Camera
In this paper, we propose a method for human tracking using 3D human body model in a video sequence with a monocular moving camera. Tracking a human with unconstrained movement in...
Sungmin Kim, Chang-Beom Park, Seong-Whan Lee
AVSS
2008
IEEE
14 years 2 months ago
Person Tracking with Audio-Visual Cues Using the Iterative Decoding Framework
Tracking humans in an indoor environment is an essential part of surveillance systems. Vision based and microphone array based trackers have been extensively researched in the pas...
Shankar T. Shivappa, Mohan M. Trivedi, Bhaskar D. ...