A Parallel Implementation of IR Video Processing on a GPU

被引：0
|
作者：
Jarrah, Amin [1 ]
Mirzaei, Golrokh [1 ]
Majid, Mohammad Wadood [1 ]
Ross, J. [2 ]
Jamali, M. M.
Gorsevski, P. V. [2 ]
Frizado, J. [2 ]
Bingman, V. P. [2 ]
机构：
[1] Univ Toledo, Dept Elect Engn & Comp Sci, 2801 W Bancroft St, Toledo, OH 43606 USA
[2] Bowling Green State Univ, Geospat Sci Sch Earth & Environ, Bowling Green, OH 43403 USA
来源：
2013 IEEE 56TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) | 2013年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A bird and bat monitoring system has been developed that uses marine radar, IR camera and acoustic recorders for wind farm applications. IR video recording is used to monitor birds and bats activity which will be useful for wildlife biologists in developing mitigation techniques to minimize impact of wind turbines on birds and bats. In order to process nocturnal migration data that is recorded from one hour after sun set to one hour before the sun rise requires high speed computations. IR video processing is computationally intensive. A parallel processing approach and use of GPU is proposed to process IR video data that will meet real time requirements. This paper examines the parallel implementation of the IR video processing on GPU. We achieved the real time requirements and the necessary performance for analyzing IR with size 704x480.
引用
收藏
页码：1160 / 1163
页数：4
相关论文
共 50 条
  • [1] Efficient Parallel Video Processing Techniques on GPU: From Framework to Implementation
    Su, Huayou
    Wen, Mei
    Wu, Nan
    Ren, Ju
    Zhang, Chunyuan
    [J]. SCIENTIFIC WORLD JOURNAL, 2014,
  • [2] Implementation of Parallel Image Processing Using NVIDIA GPU Framework
    Daga, Brijmohan
    Bhute, Avinash
    Ghatol, Ashok
    [J]. ADVANCES IN COMPUTING, COMMUNICATION AND CONTROL, 2011, 125 : 457 - +
  • [3] GPU PARALLEL IMPLEMENTATION OF GAS PLUME DETECTION IN HYPERSPECTRAL VIDEO SEQUENCES
    Yu, Huimin
    Wu, Zebin
    Wei, Jie
    Xu, Yang
    Chanussot, Jocelyn
    Bertozzi, Andrea L.
    Shi, Linlin
    Wei, Zhihui
    [J]. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 2781 - 2784
  • [4] The implementation of fast object recognition using parallel processing on CPU and GPU
    Kim, Jun-Chul
    Jung, Young-Han
    Park, Eun-Soo
    Cui, Xuenan
    Kim, Hak-Il
    Huh, Uk-Youl
    [J]. Journal of Institute of Control, Robotics and Systems, 2009, 15 (05) : 488 - 495
  • [5] Parallel Implementation of the Range-Doppler Radar Processing on a GPU Architecture
    Zhao, Guanghui
    Liu, Yongfei
    Zhang, Shuping
    Shen, Fangfang
    Lin, Yaohai
    Shi, Guangming
    [J]. 2016 15TH INTERNATIONAL SYMPOSIUM ON PARALLEL AND DISTRIBUTED COMPUTING (ISPDC), 2016, : 76 - 79
  • [6] A Parallel Implementation of RFT on GPU
    Shang, Zhe-ran
    Tan, Xian-si
    Qu, Zhi-guo
    Wang, Hong
    [J]. 2016 CIE INTERNATIONAL CONFERENCE ON RADAR (RADAR), 2016,
  • [7] PARALLEL PROCESSING OF DCT ON GPU
    Tokdemir, Serpil
    Belkasim, S.
    [J]. 2011 DATA COMPRESSION CONFERENCE (DCC), 2011, : 479 - 479
  • [8] Design and Implementation of Multi Agent Simulation Library MasCUDA for Parallel Processing with GPU
    Ohiwa, Akira
    Haga, Hirohide
    [J]. PROCEEDINGS OF 2019 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS AND ELECTRICAL ENGINEERING TECHNOLOGY (EEET 2019), 2019, : 13 - 18
  • [9] A Parallel Error Diffusion Implementation on a GPU
    Zhang, Yao
    Recker, John Ludd
    Ulichney, Robert
    Beretta, Giordano B.
    Tastl, Ingeborg
    Lin, I-Jong
    Owens, John D.
    [J]. PARALLEL PROCESSING FOR IMAGING APPLICATIONS, 2011, 7872
  • [10] Implementation of a parallel tree method on a GPU
    Nakasato, Naohito
    [J]. JOURNAL OF COMPUTATIONAL SCIENCE, 2012, 3 (03) : 132 - 141
12345