Authors
Jr-Hung Guo, Kuo-Hsien Hsia, Kuo-Lan Su
Corresponding Author
Kuo-Hsien Hsia
Available Online 1 December 2016.
DOI
https://doi.org/10.2991/jrnal.2016.3.3.2How to use a DOI?
Keywords
multi-target tracking, TLD, SURF, image identification, mobile robot.
Abstract
Image algorithms used herein are Tracking-Learning-Detection (TLD) and Speed UP Robust Features (SURF). TLD is used for target tracking and SURF is used for identifying targets. We use zoning identification, with the use of statistical probability to strengthen the efficiency of TLD and SURF. With such a method, the efficiency of image identification and target tracking can be enhanced so that the robot can simultaneously track and identify multiple targets.

Copyright
© 2013, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).