Body Posture Detection Using Computer Vision

International Journal of VLSI & Signal Processing

© 2020 by SSRG - IJVSP Journal

Volume 7 Issue 1

Year of Publication : 2020

Authors : Anand Upadhyay, Ketan Chaudhari, Pradip Bhere, Jerin Thomas

10.14445/23942584/IJVSP-V7I1P102

How to Cite?

Anand Upadhyay, Ketan Chaudhari, Pradip Bhere, Jerin Thomas, "Body Posture Detection Using Computer Vision," SSRG International Journal of VLSI & Signal Processing, vol. 7,  no. 1, pp. 6-10, 2020. Crossref, https://doi.org/10.14445/23942584/IJVSP-V7I1P102

Abstract:

Vision based human posture recognition has fascinated many researchers due to its critical challenges and a variety of applications. The applications range from simple posture recognition to complicated behaviour understanding in surveillance systems. This leads to major development in the techniques related to human body posture representation and recognition. This paper discusses applications, general framework of human body posture recognition. In this paper we present a approach for Body Posture detection in OpenCV Using OpenPose MobileNet Technology. The paper also emphasizes its advantages and disadvantages. The human body posture recognition domain has been active for more than two decades, and has provided a large amount of literature. The paper also includes some other methods of human posture detection with its limitations and advantages.

Keywords:

Body Posture Detection, OpenCV.

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