Hardware/software co-design for accelerating human action recognition

Citation

Alhammami, Muhammad and Ooi, Chee Pun and Tan, Wooi Haw (2016) Hardware/software co-design for accelerating human action recognition. In: 2015 IEEE Conference on Sustainable Utilization And Development In Engineering and Technology (CSUDET). IEEE Xplore, pp. 1-5. ISBN 978-1-4799-8612-5

[img] Text
29.pdf
Restricted to Repository staff only

Download (493kB)

Abstract

Action recognition is gaining more importance and attention due to its wide applications. But the need of implementing it in real time is essential. This paper suggests a hardware/software co-design which accelerates the whole recognizing function. In this setup we are using Microsoft© Kinect device, Intel© Atom system and FPGA based SoC device from Altera©. The initial experiments show that it is possible to recognize actions in real time using the proposed setup by processing the skeleton data. This promising result would encourage designers to take the step forward of using mixed CPU and FPGA based SoC platform to increase the performance of image and video processing operations especially in recognition systems.

Item Type: Book Section
Uncontrolled Keywords: Action recognition, Haedware/Software Co-design, FPGA, SoC, Kinect, Skeleton, Depth
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 21 Feb 2017 09:24
Last Modified: 21 Feb 2017 09:24
URII: http://shdl.mmu.edu.my/id/eprint/6470

Downloads

Downloads per month over past year

View ItemEdit (login required)