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» An appearance based approach for human and object tracking
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ECCV
2008
Springer
15 years 11 months ago
Robust Visual Tracking Based on an Effective Appearance Model
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang
ICIP
2006
IEEE
15 years 11 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ICIP
2007
IEEE
15 years 11 months ago
Multi-Modal Particle Filtering Tracking using Appearance, Motion and Audio Likelihoods
We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level ...
Matteo Bregonzio, Murtaza Taj, Andrea Cavallaro
CVPR
2008
IEEE
15 years 12 months ago
Observe-and-explain: A new approach for multiple hypotheses tracking of humans and objects
This paper presents a novel approach for tracking humans and objects under severe occlusion. We introduce a new paradigm for multiple hypotheses tracking, observe-and-explain, as ...
Michael S. Ryoo, Jake K. Aggarwal
JMM2
2006
141views more  JMM2 2006»
14 years 9 months ago
Human Tracking by Fast Mean Shift Mode Seeking
Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel ...
Csaba Beleznai, Bernhard Frühstück, Hors...