BOOSTING FRAME RATE PERFORMANCE OF FALL DETECTION SYSTEM ON HETEROGENEOUS PLATFORM

Abstract: 49 | PDF: 42

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Author

  • Nguyen Thi Khanh Hong, Le Huu Duy, Pham Van Tuan, Cecile Belleudy

Keywords:

Fall Detection
energy consumption
execution time
boosting frame rate

Abstract

Heterogeneous computing platform, Zynq- 7000 all programmable system-on-chip, not only accomplishes high efficiency solutions in accelerating the power consumption, execution time for implementing the Fall Detection application but also takes the advantage of Open source Computer Vision (OpenCV) libraries. The main goal of this work is to design and implement the Fall Detection System on Zynq platform. In addition, the execution time and calculated energy are extracted from the platform implementation. Besides, the Accuracy, Recall and Precision factors of Fall Detection System which are executed on the computer and platform implementation are compared. Finally, NEON optimization is used to boost the frame rate performance of Fall Detection System on Zynq Platform.

References

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Published

Jun 30, 2016
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How to Cite
Nguyen Thi Khanh Hong, Le Huu Duy, Pham Van Tuan, Cecile Belleudy. “BOOSTING FRAME RATE PERFORMANCE OF FALL DETECTION SYSTEM ON HETEROGENEOUS PLATFORM”. The University of Danang - Journal of Science and Technology, vol. 6, no. 103, June 2016, pp. 6-10, https://jst-ud.vn/jst-ud/article/view/1077.

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