Multiview Object and View Sequence Recognition using Hidden Markov Models

被引：0

作者：

Nunez, Lorena ^{[1
]}

Negrete, Marco ^{[1
]}

Savage, Jesus ^{[1
]}

Contreras, Luis ^{[2
]}

Moctezuma, Miguel ^{[3
]}

机构：

[1] Natl Autonomous Univ Mexico UNAM, Sch Engn, Biorobot Lab, Cdmx 04510, Mexico

[2] Tamagawa Univ, Adv Intelligence & Robot Res Ctr, Machida, Tokyo, Japan

[3] Natl Autonomous Univ Mexico UNAM, Sch Engn, Cdmx 04510, Mexico

来源：

2022 IEEE 18TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE) | 2022年

关键词：

D O I：

10.1109/CASE49997.2022.9926680

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This work presents a method for multiview object recognition and the estimation of the sequence of object views. The main feature of the method is to be lightweighted, which can be crucial for future sensor technology. This goal is achieved with a hidden Markov model of the 3D object from information of a sequence of 2D images. COIL 100 dataset were used for testing the method. The tests included images affected by rotation as well as Gaussian noise. Consistent results were obtained using relatively few shots of each class for the training process.

引用

页码：589 / 594

页数：6

共 50 条

[21] Speech emotion recognition using hidden Markov models
Nwe, TL
Foo, SW
De Silva, LC
SPEECH COMMUNICATION, 2003, 41 (04) : 603 - 623
[22] A tutorial on using Hidden Markov Models for phoneme recognition
Veeravalli, AG
Pan, WD
Adhami, R
Cox, PG
Proceedings of the Thirty-Seventh Southeastern Symposium on System Theory, 2005, : 154 - 157
[23] Face detection and recognition using Hidden Markov Models
Nefian, AV
Hayes, MH
1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1, 1998, : 141 - 145
[24] Handwritten address recognition using hidden markov models
Brakensiek, Anja
Rigoll, Gerhard
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2004, 2956 : 103 - 122
[25] Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees
Milone, Diego H.
Di Persia, Leandro E.
Torres, Maria E.
PATTERN RECOGNITION, 2010, 43 (04) : 1577 - 1589
[26] Search-space Sorting with Hidden Markov Models for Occluded Object Recognition
Guerrero-Pena, F. A.
Vasconcelos, G. C.
2016 IEEE 8TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS (IS), 2016, : 47 - 52
[27] Duration Models for Arabic Text Recognition using Hidden Markov Models
Slimane, Fouad
Ingold, Rolf
Alimi, Adel M.
Hennebert, Jean
2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING CONTROL & AUTOMATION, VOLS 1 AND 2, 2008, : 838 - +
[28] 3D object recognition in range images using hidden Markov models and neural networks
Ham, YK
Park, RH
PATTERN RECOGNITION, 1999, 32 (05) : 729 - 742
[29] Auroral Sequence Representation and Classification Using Hidden Markov Models
Yang, Qiuju
Liang, Jimin
Hu, Zejun
Zhao, Heng
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2012, 50 (12): : 5049 - 5060
[30] View-Invariant Human Action Recognition Using Exemplar-Based Hidden Markov Models
Ji, Xiaofei
Liu, Honghai
INTELLIGENT ROBOTICS AND APPLICATIONS, PROCEEDINGS, 2009, 5928 : 78 - 89

← 1 2 3 4 5 →