Proceeding of the Electrical Engineering Computer Science and Informatics
Vol 1: EECSI 2014

Automatic Human Joint Detection Using Microsoft Kinect

Samuel Cahyawijaya (Informatics Engineering, Institut Teknologi Bandung)
Iping Supriana Suwardi (Informatics Engineering, Institut Teknologi Bandung)



Article Info

Publish Date
20 Aug 2014

Abstract

Automatic human joint detection has been used in many application nowadays. In this paper, we propose an approach to detect full body human joint method using depth and color image. The proposed solution is divided into 3 stage, which is image preprocess stage, distance transform stage, and anthropometric constraint analysis stage. The output of our solution is a stickman model with the same pose as in the given input image. Our implementation is done by using a Microsoft Kinect RGB and depth camera with 480x640 image resolution. The performance of this solution is demonstrated on several human posture.

Copyrights © 2014






Journal Info

Abbrev

EECSI

Publisher

Subject

Computer Science & IT Electrical & Electronics Engineering

Description

Proceeding of the Electrical Engineering Computer Science and Informatics publishes papers of the "International Conference on Electrical Engineering Computer Science and Informatics (EECSI)" Series in high technical standard. The Proceeding is aimed to bring researchers, academicians, scientists, ...