Using Multi-Target Tracking and Identification TLD Algorithm for Intelligent Mobile Robot

DOI

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 Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Jr-Hung Guo
AU  - Kuo-Hsien Hsia
AU  - Kuo-Lan Su
PY  - 2016
DA  - 2016/12/01
TI  - Using Multi-Target Tracking and Identification TLD Algorithm for Intelligent Mobile Robot
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 144
EP  - 147
VL  - 3
IS  - 3
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2016.3.3.2
DO  - 10.2991/jrnal.2016.3.3.2
ID  - Guo2016
ER  -