Title :
Use of Kinect in a Multicamera setup for action recognition applications
Author :
Kayal, Omar ; Samarabandu, Jagath
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
Abstract :
Conventional human action recognition methods use a single light camera to extract all the necessary information needed to perform the recognition. However, the use of a single light camera poses limitations which can not be addressed without a hardware change. In this paper, we propose a novel hardware setup to help solve many of said limitations without changing the available human action algorithms. The setup uses the depth information from the Microsoft Kinect camera for the Xbox 360 gaming console, and a secondary light camera in a stereo camera configuration. In the paper we explain how the configuration is setup, and how it is used to extract the skeletal data from the Kinect camera and project this skeletal data onto the secondary camera´s image. The results of the extraction are tested for accuracy, and potential applications are discussed.
Keywords :
cameras; gesture recognition; Microsoft Kinect camera; Xbox 360 gaming console; action recognition applications; depth information; hardware setup; human action algorithm; human action recognition method; information extraction; multicamera setup; secondary camera image; single light camera; skeletal data; stereo camera configuration; Accuracy; Calibration; Cameras; Computer vision; Data mining; Stereo vision; Three-dimensional displays;
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4799-3099-9
DOI :
10.1109/CCECE.2014.6901117