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A TBB-CUDA Implementation for Background Removal in a Video-Based Fire Detection System
Joint Authors
Hu, Xiao Peng
Jiang, Xiao
Wang, Fan
Source
Mathematical Problems in Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-03
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
This paper presents a parallel TBB-CUDA implementation for the acceleration of single-Gaussian distribution model, which is effective for background removal in the video-based fire detection system.
In this framework, TBB mainly deals with initializing work of the estimated Gaussian model running on CPU, and CUDA performs background removal and adaption of the model running on GPU.
This implementation can exploit the combined computation power of TBB-CUDA, which can be applied to the real-time environment.
Over 220 video sequences are utilized in the experiments.
The experimental results illustrate that TBB+CUDA can achieve a higher speedup than both TBB and CUDA.
The proposed framework can effectively overcome the disadvantages of limited memory bandwidth and few execution units of CPU, and it reduces data transfer latency and memory latency between CPU and GPU.
American Psychological Association (APA)
Wang, Fan& Jiang, Xiao& Hu, Xiao Peng. 2014. A TBB-CUDA Implementation for Background Removal in a Video-Based Fire Detection System. Mathematical Problems in Engineering،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-491059
Modern Language Association (MLA)
Wang, Fan…[et al.]. A TBB-CUDA Implementation for Background Removal in a Video-Based Fire Detection System. Mathematical Problems in Engineering No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-491059
American Medical Association (AMA)
Wang, Fan& Jiang, Xiao& Hu, Xiao Peng. A TBB-CUDA Implementation for Background Removal in a Video-Based Fire Detection System. Mathematical Problems in Engineering. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-491059
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491059