GPU Parallel Computing Algorithm in Target Tracking of Space

Article careful analysis of existing processes and target tracking algorithm and part of the video image processing algorithm that consume large amount of data based CPU. Each algorithm for image pre-processing module and tracking module algorithm designed operational processes. Several studies algo...

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Veröffentlicht in:Applied Mechanics and Materials Jg. 539; H. Advanced Engineering Solutions; S. 122 - 125
1. Verfasser: Ding, Tuo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Zurich Trans Tech Publications Ltd 01.07.2014
Schlagworte:
Algorithms
Computation
Consumption
Devices
Modules
Target tracking
Tracking
CUDA
Tracking Algorithm
GPU
Moving Target
ISBN:3038350508, 9783038350507
ISSN:1660-9336, 1662-7482, 1662-7482
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Abstract Article careful analysis of existing processes and target tracking algorithm and part of the video image processing algorithm that consume large amount of data based CPU. Each algorithm for image pre-processing module and tracking module algorithm designed operational processes. Several studies algorithm for image pre-processing module, and each was carried out in parallel GPU accelerated processing, and were tested in a unified CUDA computing device. Experimental data show that some parts of the algorithm can be improved after the adoption of CUDA target tracking algorithm optimized overall efficiency, has some practical significance.
AbstractList Article careful analysis of existing processes and target tracking algorithm and part of the video image processing algorithm that consume large amount of data based CPU. Each algorithm for image pre-processing module and tracking module algorithm designed operational processes. Several studies algorithm for image pre-processing module, and each was carried out in parallel GPU accelerated processing, and were tested in a unified CUDA computing device. Experimental data show that some parts of the algorithm can be improved after the adoption of CUDA target tracking algorithm optimized overall efficiency, has some practical significance.
Author Ding, Tuo
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Tracking Algorithm
GPU
Moving Target
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Notes Selected, peer reviewed papers from the 4th International Conference on Intelligent Structure and Vibration Control (ISVC) 2014, July 25-28, 2014, Chongqing, China
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SubjectTerms Algorithms
Computation
Consumption
Devices
Modules
Target tracking
Tracking
Title GPU Parallel Computing Algorithm in Target Tracking of Space
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