Multihuman Tracking Based on a Spatial-Temporal Appearance Match

In this paper, we focus on the improvements of appearance representation for multihuman tracking. Many previous methods extracted low-level appearance features, such as color histogram and texture, even combined with spatial information for each frame. These methods ignore the temporal distribution...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology 2014-03, Vol.24 (3), p.361-373
Main Authors: Shen, Yuan, Miao, Zhenjiang
Format: Article
Language:English
Subjects:
Applied sciences
Bayesian analysis
Computational modeling
Detection, estimation, filtering, equalization, prediction
Divergence
Dynamics
Exact sciences and technology
Feature extraction
Gaussian distribution
Histograms
Image color analysis
Information, signal and communications theory
Jensen-Shannon divergence
Mathematical models
multihuman tracking
On-line systems
online EM
Representations
Signal and communications theory
Signal, noise
spatial-temporal appearance
Target tracking
Telecommunications and information theory
Texture
Tracking
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