• DocumentCode
    1768538
  • Title

    A single-chip 600-fps real-time action recognition system employing a hardware friendly algorithm

  • Author

    Zuoxun Hou ; Hongbo Zhu ; Nanning Zheng ; Shibata, Takuma

  • Author_Institution
    Inst. of Artificial Intell. & Robot., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2014
  • fDate
    1-5 June 2014
  • Firstpage
    762
  • Lastpage
    765
  • Abstract
    A real-time action recognition system has been developed. In order to achieve an efficient and compact system implementation, a hardware friendly algorithm has been explored and employed in building the system. The core functions of the system, namely the whole action recognition algorithm including the motion detection, motion feature vector generation, nearest neighbor search, are entirely realized on a single FPGA chip. Operating at 63 MHz, the system can process QVGA (320 × 240) videos at a speed of 600-fps. The robustness of the system is demonstrated by real environment experiments on gesture recognition.
  • Keywords
    feature extraction; field programmable gate arrays; gesture recognition; image motion analysis; FPGA chip; field programmable gate array; frequency 63 MHz; gesture recognition; hardware friendly algorithm; motion detection; motion feature vector generation; nearest neighbor search; single-chip real-time action recognition system; whole action recognition algorithm; Feature extraction; Hardware; Prototypes; Real-time systems; Support vector machine classification; Vectors; Videos;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
  • Conference_Location
    Melbourne VIC
  • Print_ISBN
    978-1-4799-3431-7
  • Type

    conf

  • DOI
    10.1109/ISCAS.2014.6865247
  • Filename
    6865247