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Inventi Impact: Cloud Computing

Articles

  • Inventi:ecc/23025/17
    A Real-Time High Performance Computation Architecture for Multiple Moving Target Tracking\nBased on Wide-Area Motion Imagery via Cloud and Graphic Processing Units
    01-Jan-1970 Research 2017 : July - September
    Kui Liu, SixiaoWei, Zhijiang Chen, Bin Jia, Genshe Chen, Haibin Ling, Carolyn Sheaff , Erik Blasch

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

    How to Cite this Article
    CC Compliant Citation: Liu, Kui, et al. \"A Real-Time High Performance Computation Architecture for Multiple Moving Target\nTracking Based on Wide-Area Motion Imagery via Cloud and Graphic Processing Units.\" Sensors 17.2 (2017): 356,\ndoi:10.3390/s17020356, http://creativecommons.org/licenses/by/4.0/.
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