• DOI:10.1109/ICSICT.2018.8565781
Corpus ID: 52981853

FPGA-based Acceleration System for Visual Tracking

@article{Song2018FPGAbasedAS,
  title={FPGA-based Acceleration System for Visual Tracking},
  author={K. Song and C. Yuan and P. Gao and Y. Sun},
  journal={2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT)},
  year={2018},
  pages={1-3}
}

K. Song, C. Yuan, +1 author Y. Sun

Published 2018

Computer Science, Engineering

2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT)

Visual tracking is one of the most important application areas of computer vision. At present, most algorithms are mainly implemented on PCs, and it is difficult to ensure real-time performance when applied in the real scenario. In order to improve the tracking speed and reduce the overall power consumption of the visual tracking, this paper proposes a real-time visual tracking algorithm based on DSST(Discriminative Scale Space Tracking) approach. We implement a hardware system on Xilinx… CONTINUE READING

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