Visual Object Tracking Based on Cross-Modality Gaussian-Bernoulli Deep Boltzmann Machines with RGB-D Sensors

Visual Object Tracking Based on Cross-Modality Gaussian-Bernoulli Deep Boltzmann Machines with RGB-D Sensors

Visual object tracking technology is one of the key issues in computer vision. In this paper, we propose a visual object tracking algorithm based on cross-modality featuredeep learning using Gaussian-Bernoulli deep Boltzmann machines (DBM) with RGB-D sensors. First, a cross-modality featurelearning...

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Bibliographic Details
Main Authors: Mingxin Jiang, Zhigeng Pan, Zhenzhou Tang
Format: Article
Language:English
Published: MDPI AG 2017-01-01
Series:Sensors
Subjects:
Gaussian-Bernoulli deep Boltzmann machines
cross-modality features
Bayesian MAP
visual object tracking
Online Access:http://www.mdpi.com/1424-8220/17/1/121

Internet

http://www.mdpi.com/1424-8220/17/1/121

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