Research on hand posture recognition algorithm based on BOF-Gist feature

doi:10.3778/j.issn.1002-8331.1511-0324

Computer Engineering and Applications ›› 2017, Vol. 53 ›› Issue (9): 170-174.DOI: 10.3778/j.issn.1002-8331.1511-0324

Previous Articles Next Articles

Research on hand posture recognition algorithm based on BOF-Gist feature

DING Yi1, CAO Jiangtao1, LI Ping1, JI Xiaofei2

1. School of Information and Control Engineering, Liaoning Shihua University, Fushun, Liaoning 113001, China
2. School of Automation, Shenyang Aerospace University, Shenyang 110136, China

Online:2017-05-01 Published:2017-05-15

基于BOF-Gist特征的手势识别算法研究

丁毅1，曹江涛1，李平1，姬晓飞2

1.辽宁石油化工大学信息与控制工程学院，辽宁抚顺 113001
2.沈阳航空航天大学自动化学院，沈阳 110136

Abstract

Abstract: Aiming at the problem of high computational complexity and poor real-time performance of static gesture recognition algorithm, a novel BOF-Gist feature is proposed. This feature can effectively represent the local features and global features of hand posture image with the original advantages of Gist features, the feature dimension is relatively lower, and the real-time performance is better. The testing results on the standard database show that correct recognition rate of the algorithm is 90.42% and 79.05% respectively for ten sign language postures under simple and complex background, and at the same time the real-time performance of the algorithm is verified.

Key words: hand posture recognition, bag of features, global feature, local feature, real time

摘要： 针对静态手势识别算法存在特征计算复杂度高，实时性差的问题，提出了一种新的BOF-Gist特征对手势图像进行表示。该特征的优势是在保持Gist特征原有优势的基础上，有效地表征手势图像的局部特征和全局特征，并且特征维数明显降低，实时性好。在标准数据库上的测试表明，该算法对于简单、复杂背景下十种手语手势分别得到了90.42%与79.05%的正确识别率，同时验证了算法的实时性。

关键词: 手势识别, 特征袋, 全局特征, 局部特征, 实时性

DING Yi1, CAO Jiangtao1, LI Ping1, JI Xiaofei2. Research on hand posture recognition algorithm based on BOF-Gist feature[J]. Computer Engineering and Applications, 2017, 53(9): 170-174.

丁毅1，曹江涛1，李平1，姬晓飞2. 基于BOF-Gist特征的手势识别算法研究[J]. 计算机工程与应用, 2017, 53(9): 170-174.

[1]	ZHENG Liang, CHEN Ya, CHEN Xiaopan, ZHENG Fengbin. Kinship Verification Method of Facial Local Feature Enhancement [J]. Computer Engineering and Applications, 2021, 57(23): 226-233.
[2]	XIAO Yani, FAN Xinyue, CHEN Wenfeng. Research on Person Re-identification Based on Integrating Local Features Under Multi-branches [J]. Computer Engineering and Applications, 2021, 57(18): 213-219.
[3]	LI Zhonghai, BAI Qiuyang, WANG Fuming, LIU Hairong. Real-Time Detection System of Rail Surface Defects Based on Semantic Segmentation [J]. Computer Engineering and Applications, 2021, 57(12): 248-256.
[4]	XU Jiazhen, LI Ting, YANG Wei. Person Re-Identification by Multi-Scale Local Feature Selection [J]. Computer Engineering and Applications, 2020, 56(2): 141-145.
[5]	LI Junhua, QUAN Xiaoxia, WANG Yuling. Research on Defect Detection Algorithm of Ceramic Tile Surface with Multi-feature Fusion [J]. Computer Engineering and Applications, 2020, 56(15): 191-198.
[6]	LV Hui, TONG Qianqian, YUAN Zhiyong. Realtime Architecture for Facial Expression Recognitionin Complex Scenes Based on Face Region Segmentation [J]. Computer Engineering and Applications, 2020, 56(12): 134-140.
[7]	RAN Longcai, HUANG Chengquan, TIAN Wenying. Application Research on Improved BPDN in Image Deraining and Desnowing [J]. Computer Engineering and Applications, 2019, 55(15): 198-203.
[8]	WANG Gang1，2, NIU Hongxia1，2. Bayesian Face Recognition Method Based on Global and Local Feature Fusion [J]. Computer Engineering and Applications, 2019, 55(11): 172-178.
[9]	ZHANG Handong, CHEN Yang, WU Yuxiu. Real time path planning for mobile robot in unknown environment [J]. Computer Engineering and Applications, 2018, 54(19): 140-146.
[10]	SUN Ying, MA Jianghe, ZHANG Xueying. EEG emotion recognition based on nonlinear global features and spectral feature [J]. Computer Engineering and Applications, 2018, 54(17): 116-121.
[11]	WANG Qihao1，2, WANG Bin1，2. Local matching algorithm for product image search [J]. Computer Engineering and Applications, 2017, 53(6): 246-251.
[12]	WU Fan, MIN Huasong. Real-time 3D semantic map generation method [J]. Computer Engineering and Applications, 2017, 53(6): 67-72.
[13]	ZHAO Haijun1, LI Min2, LI Mingdong1, LUO Yu1. Dynamic bandwidth allocation algorithm based on flow characteristics and timing constraints [J]. Computer Engineering and Applications, 2017, 53(3): 116-119.
[14]	WU Qingjia. Real-time face recognition system using EVP descriptor [J]. Computer Engineering and Applications, 2016, 52(8): 130-134.
[15]	YU Wei1, MAO Yao2，3, XIAO Jing1, DENG Chao2，3, GENG Fuli1. Controller of anti-twisting mechanism in high altitude balloon’s nacelle based on VxWorks RTOS [J]. Computer Engineering and Applications, 2016, 52(22): 266-270.

Research on hand posture recognition algorithm based on BOF-Gist feature

基于BOF-Gist特征的手势识别算法研究

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics