High speed object recognition system

P. W.M. Tsang; P. C. Yuen; F. K. Lam

High speed object recognition system

P. W.M. Tsang^*
, P. C. Yuen
, F. K. Lam

^*Corresponding author for this work

Department of Computer Science

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

Abstract

A high speed object recognition system is designed and developed for recognizing a set of handtools. The system is not only capable of handling the scaling and orientation problems, but also can recognize partially occluded objects. Corners and curves which are detected based on different order of discontinuities are selected as the primitive local features of an object. After feature detection, Back Propagation network (BP net) is employed as a classifer. A set of general handtools is selected to evaluate the performance of the system and the results are encouraging. The recognition time is less than 6 seconds with an IBM AT computer.

Original language	English
Title of host publication	1991 Sixth International Conference on Digital Processing of Signals in Communications
Publisher	IEEE
Pages	117-122
Number of pages	6
ISBN (Print)	0852965222
Publication status	Published - 2 Sept 1991
Event	6th International Conference on Digital Processing of Signals in Communications - Loughborough, United Kingdom Duration: 2 Sept 1991 → 6 Sept 1991 https://ieeexplore.ieee.org/xpl/conhome/1207/proceeding (Conference proceedings)

Publication series

Name	International Conference on Digital Processing of Signals in Communications

Conference

Conference	6th International Conference on Digital Processing of Signals in Communications
Country/Territory	United Kingdom
City	Loughborough
Period	2/09/91 → 6/09/91
Internet address	https://ieeexplore.ieee.org/xpl/conhome/1207/proceeding (Conference proceedings)

User-Defined Keywords

Computer Programming
Pattern Recognition
Image Processing

Access to Document

https://ieeexplore.ieee.org/document/151913

Cite this

@inproceedings{ade200008e1d42ae8d640895472cf3de,

title = "High speed object recognition system",

abstract = "A high speed object recognition system is designed and developed for recognizing a set of handtools. The system is not only capable of handling the scaling and orientation problems, but also can recognize partially occluded objects. Corners and curves which are detected based on different order of discontinuities are selected as the primitive local features of an object. After feature detection, Back Propagation network (BP net) is employed as a classifer. A set of general handtools is selected to evaluate the performance of the system and the results are encouraging. The recognition time is less than 6 seconds with an IBM AT computer.",

keywords = "Computer Programming, Pattern Recognition, Image Processing",

author = "Tsang, \{P. W.M.\} and Yuen, \{P. C.\} and Lam, \{F. K.\}",

year = "1991",

month = sep,

day = "2",

language = "English",

isbn = "0852965222",

series = "International Conference on Digital Processing of Signals in Communications",

publisher = "IEEE",

pages = "117--122",

booktitle = "1991 Sixth International Conference on Digital Processing of Signals in Communications",

address = "United States",

note = "6th International Conference on Digital Processing of Signals in Communications ; Conference date: 02-09-1991 Through 06-09-1991",

url = "https://ieeexplore.ieee.org/xpl/conhome/1207/proceeding",

}

Tsang, PWM, Yuen, PC & Lam, FK 1991, High speed object recognition system. in 1991 Sixth International Conference on Digital Processing of Signals in Communications. International Conference on Digital Processing of Signals in Communications, IEEE, pp. 117-122, 6th International Conference on Digital Processing of Signals in Communications, Loughborough, United Kingdom, 2/09/91. <https://ieeexplore.ieee.org/document/151913>

High speed object recognition system. / Tsang, P. W.M.; Yuen, P. C.; Lam, F. K.
1991 Sixth International Conference on Digital Processing of Signals in Communications. IEEE, 1991. p. 117-122 (International Conference on Digital Processing of Signals in Communications).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

TY - GEN

T1 - High speed object recognition system

AU - Tsang, P. W.M.

AU - Yuen, P. C.

AU - Lam, F. K.

PY - 1991/9/2

Y1 - 1991/9/2

N2 - A high speed object recognition system is designed and developed for recognizing a set of handtools. The system is not only capable of handling the scaling and orientation problems, but also can recognize partially occluded objects. Corners and curves which are detected based on different order of discontinuities are selected as the primitive local features of an object. After feature detection, Back Propagation network (BP net) is employed as a classifer. A set of general handtools is selected to evaluate the performance of the system and the results are encouraging. The recognition time is less than 6 seconds with an IBM AT computer.

AB - A high speed object recognition system is designed and developed for recognizing a set of handtools. The system is not only capable of handling the scaling and orientation problems, but also can recognize partially occluded objects. Corners and curves which are detected based on different order of discontinuities are selected as the primitive local features of an object. After feature detection, Back Propagation network (BP net) is employed as a classifer. A set of general handtools is selected to evaluate the performance of the system and the results are encouraging. The recognition time is less than 6 seconds with an IBM AT computer.

KW - Computer Programming

KW - Pattern Recognition

KW - Image Processing

UR - https://www.scopus.com/pages/publications/0026404439

M3 - Conference proceeding

AN - SCOPUS:0026404439

SN - 0852965222

T3 - International Conference on Digital Processing of Signals in Communications

SP - 117

EP - 122

BT - 1991 Sixth International Conference on Digital Processing of Signals in Communications

PB - IEEE

T2 - 6th International Conference on Digital Processing of Signals in Communications

Y2 - 2 September 1991 through 6 September 1991

ER -

High speed object recognition system

Abstract

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User-Defined Keywords

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