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

被引：0

作者：

Guo, Jr-Hung ^{[1
]}

Hsia, Kuo-Hsien ^{[2
]}

Su, Kuo-Lan ^{[3
]}

机构：

[1] Natl Chin Yi Univ Technol, Dept Elect Engn, 57,Sec 2,Zhongshan Rd, Taichung 41170, Taiwan

[2] Far East Univ, Dept Elect Engn, 49 Chung Hua Rd, Tainan 74448, Taiwan

[3] Natl Yunlin Univ Sci & Technol, Dept Elect Engn, 123 Univ Rd,Sect 3, Touliu 64002, Yunlin, Taiwan

来源：

JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2016年 / 3卷 / 03期

关键词：

multi-target tracking; TLD; SURF; image identification; mobile robot;

D O I：

10.2991/jrnal.2016.3.3.2

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

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.

引用

页码：144 / 147

页数：4

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