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文章基本信息

  • 标题:Implementation of Real Time Local Search Particle Filter Based Tracking Algorithms on BeagleBoard-xM
  • 本地全文:下载
  • 作者:Jharna Majumdar ; Parashar Dhakal ; Amar Mani Aryal
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2014
  • 卷号:11
  • 期号:3
  • 出版社:IJCSI Press
  • 摘要:This work hybridizes Particle Filter and Local Search algorithm for the realization of intelligent computer vision based target tracking on BeagleBoard-xM, an ARM based embedded platform, which tracks moving targets in a continuous scene operating in real-time. The integration of Local Search algorithms with Particle Filter significantly increases the accuracy of tracking. The use of embedded board helps to reduce the space requirement and cost of the design. The implementation of target tracking on embedded platform has many end uses especially in the field of robotics, surveillance, human-computer interaction applications, etc.
  • 关键词:ARM; BeagleBoard ;xM; Color histogram; Distance Measures; Embedded Computer Vision; Gstreamer; Linux; Local Search; Particle filter; Re;Sampling; SDL; Target Tracking.
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