Object Tracking Using Adaptive Covariance Descriptor and Clustering-Based Model Updating for Visual Surveillance

Object Tracking Using Adaptive Covariance Descriptor and Clustering-Based Model Updating for Visual Surveillance

We propose a novel approach for tracking an arbitrary object in video sequences for visual surveillance. The first contribution of this work is an automatic feature extraction method that is able to extract compact discriminative features from a feature pool before computing the region covariance de...

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Bibliographic Details
Main Authors: Lei Qin, Hichem Snoussi, Fahed Abdallah
Format: Article
Language:English
Published: MDPI AG 2014-05-01
Series:Sensors
Subjects:
visual tracking
region descriptor
appearance model updating
clustering
Online Access:http://www.mdpi.com/1424-8220/14/6/9380

Internet

http://www.mdpi.com/1424-8220/14/6/9380

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