Open Access Open Access  Restricted Access Subscription or Fee Access

Application Human Tracking on Electric Wheelchair using Cluster Analysis

Fitri Utaminingrum, M.Ali Fauzi, Dahnial Syauqy, Yuita Arum Sari, Randy Cahya W.

Abstract



This paper propose computer vision based human tracking which was implemented on electric wheelchair to actively follow the movement of human as guide. The main problems to be solved in this case were how to track pre-selected human and how to control the movement of the wheelchair based on the human position. In order to detect the human in a captured frame of image, we analyzed sub images of the frame using correlation. The image was divided as sub images arranged as row and column of grids. By using this method, we were able to locate pre-selected human in the image and used it as driving control rules. The computation performance of this method was better than using template matching or color-space method, which was 0.39s per frame compared to 1.5s and 0.6s respectively. We also compared the accuracy of this method with template matching and color-space method. The result also showed that the accuracy of this method was slightly better.

Keywords


Human tracking, correlation, computer vision, electrical wheelchair

Full Text:

PDF


Disclaimer/Regarding indexing issue:

We have provided the online access of all issues and papers to the indexing agencies (as given on journal web site). It’s depend on indexing agencies when, how and what manner they can index or not. Hence, we like to inform that on the basis of earlier indexing, we can’t predict the today or future indexing policy of third party (i.e. indexing agencies) as they have right to discontinue any journal at any time without prior information to the journal. So, please neither sends any question nor expects any answer from us on the behalf of third party i.e. indexing agencies.Hence, we will not issue any certificate or letter for indexing issue. Our role is just to provide the online access to them. So we do properly this and one can visit indexing agencies website to get the authentic information.