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Sensors 2017, 17(2), 356; doi:10.3390/s17020356

A Real-Time High Performance Computation Architecture for Multiple Moving Target Tracking Based on Wide-Area Motion Imagery via Cloud and Graphic Processing Units

1
Intelligent Fusion Technology, Inc., Germantown, MD 20876, USA
2
Department of Computer and Information Sciences, Temple University, Philadelphia, PA 19122, USA
3
Air Force Research Laboratory, Information Directorate, Rome, NY 13441, USA
*
Author to whom correspondence should be addressed.
Academic Editor: Joonki Paik
Received: 29 November 2016 / Revised: 4 February 2017 / Accepted: 7 February 2017 / Published: 12 February 2017
(This article belongs to the Special Issue Video Analysis and Tracking Using State-of-the-Art Sensors)
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Abstract

This paper presents the first attempt at combining Cloud with Graphic Processing Units (GPUs) in a complementary manner within the framework of a real-time high performance computation architecture for the application of detecting and tracking multiple moving targets based on Wide Area Motion Imagery (WAMI). More specifically, the GPU and Cloud Moving Target Tracking (GC-MTT) system applied a front-end web based server to perform the interaction with Hadoop and highly parallelized computation functions based on the Compute Unified Device Architecture (CUDA©). The introduced multiple moving target detection and tracking method can be extended to other applications such as pedestrian tracking, group tracking, and Patterns of Life (PoL) analysis. The cloud and GPUs based computing provides an efficient real-time target recognition and tracking approach as compared to methods when the work flow is applied using only central processing units (CPUs). The simultaneous tracking and recognition results demonstrate that a GC-MTT based approach provides drastically improved tracking with low frame rates over realistic conditions. View Full-Text
Keywords: high performance computation; cloud infrastructure; target detection; target tracking high performance computation; cloud infrastructure; target detection; target tracking
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MDPI and ACS Style

Liu, K.; Wei, S.; Chen, Z.; Jia, B.; Chen, G.; Ling, H.; Sheaff, C.; Blasch, E. A Real-Time High Performance Computation Architecture for Multiple Moving Target Tracking Based on Wide-Area Motion Imagery via Cloud and Graphic Processing Units. Sensors 2017, 17, 356.

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