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.2016.3.3.2
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/).