Static Gesture Recognition Based on RGB-D Depth Information

被引：0

作者：

Wang, Yi ^{[1
]}

Dong, Xiucheng ^{[1
]}

Li, Changlong ^{[1
]}

Yu, Ximu ^{[2
]}

机构：

[1] Xihua Univ, Sch Elect & Informat Engn, 999 Jinzhou Rd, Chengdu 610039, Peoples R China

[2] CNNC Jianzhong Nucl Fuel Co Ltd, Yibin, Peoples R China

来源：

ADVANCES IN COMPUTERS, ELECTRONICS AND MECHATRONICS | 2014年 / 667卷

关键词：

static gesture recognition; RGB-D; appearance gesture feature; decision tree;

D O I：

10.4028/www.scientific.net/AMM.667.248

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

This paper presents a method of static gesture recognition based on RGB-D depth image technology for problems of static gesture recognition under complex background. First, Microsoft's Kincet camera is for data collection. The hand region is extracted from complex background via depth image. Then appearance features are integrated to build the decision tree model which based on hands and largest index angle of the fingertips for hand gesture recognition. Nine common gestures with complex background were tested in the system. Experiments show that the method can implement efficiently, and has a strong robustness.

引用

页码：248 / +

页数：2

共 50 条

[1] RGB-D static gesture recognition based on convolutional neural network
Xie, Bin
He, Xiaoyu
Li, Yi
[J]. JOURNAL OF ENGINEERING-JOE, 2018, (16): : 1515 - 1520
[2] Static Hand Gesture Recognition Using RGB-D Data
Elboushaki, Abdessamad
Hannane, Rachida
Afdel, Karim
Koutti, Lahcen
[J]. Networked Systems, NETYS 2016, 2016, 9944 : 381 - 381
[3] Static Hand Gesture Recognition Based on RGB-D Image and Arm Removal
Xu, Bingyuan
Zhou, Zhiheng
Huang, Junchu
Huang, Yu
[J]. ADVANCES IN NEURAL NETWORKS, PT I, 2017, 10261 : 180 - 187
[4] Unsupervised Learning Based Static Hand Gesture Recognition from RGB-D Sensor
Verma, Bindu
Choudhary, Ayesha
[J]. PROCEEDINGS OF THE EIGHTH INTERNATIONAL CONFERENCE ON SOFT COMPUTING AND PATTERN RECOGNITION (SOCPAR 2016), 2018, 614 : 304 - 314
[5] Gesture Recognition of RGB and RGB-D Static Images Using Convolutional Neural Networks
Khari, Manju
Garg, Aditya Kumar
Gonzalez Crespo, Ruben
Verdu, Elena
[J]. INTERNATIONAL JOURNAL OF INTERACTIVE MULTIMEDIA AND ARTIFICIAL INTELLIGENCE, 2019, 5 (07): : 22 - 27
[6] Sparse Representation Based Approach for RGB-D Hand Gesture Recognition
Su, Te-Feng
Fan, Chin-Yun
Lin, Meng-Hsuan
Lai, Shang-Hong
[J]. ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2015, PT II, 2015, 9315 : 564 - 570
[7] Hand Gesture Recognition using RGB-D Cues
Lin, Lan
Cong, Yang
Tang, Yandong
[J]. PROCEEDING OF THE IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION, 2012, : 311 - 316
[8] GL-PAM RGB-D GESTURE RECOGNITION
Li, Benchao
Li, Wanhua
Tang, Yongyi
Hu, Jian-Fang
Zheng, Wei-Shi
[J]. 2018 25TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2018, : 3109 - 3113
[9] A static hand gesture recognition method based on the depth information
Ma, Li
Huang, Wenjing
[J]. 2016 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT HUMAN-MACHINE SYSTEMS AND CYBERNETICS (IHMSC), VOL. 2, 2016, : 136 - 139
[10] Towards a Professional Gesture Recognition with RGB-D from Smartphone
Monivar, Pablo Vicente
Manitsaris, Sotiris
Glushkova, Alina
[J]. COMPUTER VISION SYSTEMS (ICVS 2019), 2019, 11754 : 234 - 244

← 1 2 3 4 5 →