Deep Neural Networks vs Bag of Features for Hand Gesture Recognition

被引：2

作者：

Mirsu, Radu ^{[1
]}

Simion, Georgiana ^{[1
]}

Caleanu, Catlin Daniel ^{[1
]}

Ursulescu, Oana ^{[1
]}

Calimanu, Ioana Pop ^{[1
]}

机构：

[1] Politehn Univ Timisoara, Fac Elect Telecommun & Informat Technol, Timisoara, Romania

来源：

2019 42ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND SIGNAL PROCESSING (TSP) | 2019年

关键词：

bag of feature; deep neural netorks; hand gestures; SURF;

D O I：

10.1109/tsp.2019.8768812

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Deep Neural Networks and their associated learning paradigm, Deep Learning, represent one of the hottest approaches used in image understanding and recognition. As their performances depends quasi-linearly on the amount of available data, the typical case studies in the literature assume the availability of huge datasets. This paper proposes to analyze several deep neural networks (trained from the scratch or pretrained), test their efficiency in the problem of hand gesture recognition, and compare the results to a state-of-the-art classical method, the bag of features, for the case of small databases.

引用

页码：369 / 372

页数：4

共 50 条

[41] Radar-Based Hand Gesture Recognition Using Spiking Neural Networks
Tsang, Ing Jyh
Corradi, Federico
Sifalakis, Manolis
Van Leekwijck, Werner
Latre, Steven
ELECTRONICS, 2021, 10 (12)
[42] Depth-based Hand Gesture Recognition using Convolutional Neural Networks
Pyo, Jeongwon
Ji, Sanghoon
You, Sujeong
Kuc, Taeyoung
2016 13TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI), 2016, : 225 - 227
[43] Natural Control of an Industrial Robot Using Hand Gesture Recognition with Neural Networks
Simao, Miguel
Neto, Pedro
Gibaru, Olivier
PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 5322 - 5327
[44] Hand Gesture Recognition Using Deep Learning
Hussain, Soeb
Saxena, Rupal
Han, Xie
Khan, Jameel Ahmed
Shin, Hyunchul
PROCEEDINGS INTERNATIONAL SOC DESIGN CONFERENCE 2017 (ISOCC 2017), 2017, : 48 - 49
[45] Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
Passalis, Nikolaos
Tefas, Anastasios
2017 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2017, : 5766 - 5774
[46] Machine Learning for Hand Gesture Recognition Using Bag-of-words
Benmoussa, Marouane
Mahmoudi, Abdelhak
2018 INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS AND COMPUTER VISION (ISCV2018), 2018,
[47] Hand Gesture Recognition Using Deep Neural Network and Its Implementation in Augmented Reality
Yang, Huayong
Lin, Xiaoli
Proceedings of the 2016 4th International Conference on Machinery, Materials and Information Technology Applications, 2016, 71 : 1108 - 1111
[48] Hand Gesture Recognition for Bangla Sign Language Using Deep Convolution Neural Network
Tasmere, Dardina
Ahmed, Boshir
2020 2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE TECHNOLOGIES FOR INDUSTRY 4.0 (STI), 2020,
[49] An Embedded Neural Network Approach for Reinforcing Deep Learning: Advancing Hand Gesture Recognition
Mira, Anwar
Hellwich, Olaf
JOURNAL OF UNIVERSAL COMPUTER SCIENCE, 2024, 30 (07) : 957 - 977
[50] A deep neural network for hand gesture recognition from RGB image in complex background
Tsai, Tsung-Han
Ho, Yuan-Chen
Chi, Po-Ting
Chen, Ting-Jia
SIGNAL IMAGE AND VIDEO PROCESSING, 2024, 18 (SUPPL 1) : 861 - 872

← 1 2 3 4 5 →