| Title: | OS2-3 Using Multi-Target Tracking and Identification TLD Algorithm for Intelligent Mobile Robot |
|---|---|
| Publication: | ICAROB2016 |
| Volume: | 21 |
| Pages: | 56-59 |
| ISSN: | 2188-7829 |
| DOI: | 10.5954/ICAROB.2016.OS2-3 |
| Author(s): | Jr-Hung Guo, Kuo-Hsien Hsia, Kuo-Lan Su |
| Publication Date: | January 29, 2016 |
| 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. |
| PDF File: | https://alife-robotics.co.jp/members2016/icarob/data/papers/OS/OS2-3.pdf |
| Copyright: | © The authors. This article is distributed under the terms of the Creative Commons Attribution License 4.0, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited. See for details: https://creativecommons.org/licenses/by-nc/4.0/ |
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