Local feature-based recognition of partially occluded objects using neural network

Nanning Zheng; Yaoyong Li; Wiek P.M. Houwers

Local feature-based recognition of partially occluded objects using neural network

Nanning Zheng
, Yaoyong Li
, Wiek P.M. Houwers

人工智能学院

Xi'an Jiaotong University

科研成果: 会议稿件 › 论文 › 同行评审

1 引用（Scopus）

摘要

A new method of recognizing partially occluded objects using neural networks is presented. The neural network constitutes of a simplified ART-2 and a two feed forward network, and its inputs are the local features of objects. The network is firstly trained using a set of local features of known objects, then it can be used to recognize unknown object(s). Our numerical experiments using this method show the encouraging results, especially for recognizing the occluded objects.

源语言	英语
页	1301-1306
页数	6
出版状态	已出版 - 1995
活动	Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2) - Orlando, FL, USA 期限: 6 11月 1995 → 10 11月 1995

会议

会议	Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2)
市	Orlando, FL, USA
时期	6/11/95 → 10/11/95

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@conference{3396de698d2d4403be095cc6df70288f,

title = "Local feature-based recognition of partially occluded objects using neural network",

abstract = "A new method of recognizing partially occluded objects using neural networks is presented. The neural network constitutes of a simplified ART-2 and a two feed forward network, and its inputs are the local features of objects. The network is firstly trained using a set of local features of known objects, then it can be used to recognize unknown object(s). Our numerical experiments using this method show the encouraging results, especially for recognizing the occluded objects.",

author = "Nanning Zheng and Yaoyong Li and Houwers, \{Wiek P.M.\}",

year = "1995",

language = "英语",

pages = "1301--1306",

note = "Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2) ; Conference date: 06-11-1995 Through 10-11-1995",

}

TY - CONF

T1 - Local feature-based recognition of partially occluded objects using neural network

AU - Zheng, Nanning

AU - Li, Yaoyong

AU - Houwers, Wiek P.M.

PY - 1995

Y1 - 1995

N2 - A new method of recognizing partially occluded objects using neural networks is presented. The neural network constitutes of a simplified ART-2 and a two feed forward network, and its inputs are the local features of objects. The network is firstly trained using a set of local features of known objects, then it can be used to recognize unknown object(s). Our numerical experiments using this method show the encouraging results, especially for recognizing the occluded objects.

AB - A new method of recognizing partially occluded objects using neural networks is presented. The neural network constitutes of a simplified ART-2 and a two feed forward network, and its inputs are the local features of objects. The network is firstly trained using a set of local features of known objects, then it can be used to recognize unknown object(s). Our numerical experiments using this method show the encouraging results, especially for recognizing the occluded objects.

UR - https://www.scopus.com/pages/publications/0029486618

M3 - 论文

AN - SCOPUS:0029486618

SP - 1301

EP - 1306

T2 - Proceedings of the 1995 IEEE 21st International Conference on Industrial Electronics, Control, and Instrumentation. Part 1 (of 2)

Y2 - 6 November 1995 through 10 November 1995

ER -

Local feature-based recognition of partially occluded objects using neural network

摘要

会议

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