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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Detalles Bibliográficos
Autores principales: Jiang, Mingxin, Pan, Zhigeng, Tang, Zhenzhou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298694/
https://www.ncbi.nlm.nih.gov/pubmed/28075373
http://dx.doi.org/10.3390/s17010121

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298694/
https://www.ncbi.nlm.nih.gov/pubmed/28075373
http://dx.doi.org/10.3390/s17010121

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