Probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing

Shang Hung Lin; Yin Chan; S. Y. Kung

Probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing

Shang Hung Lin, Yin Chan, S. Y. Kung

Research output: Contribution to journal › Conference article › peer-review

Abstract

A probabilistic decision-based neural network for finding deformable patterns or objects has been developed, especially for detecting human faces and locating eyes in the faces. The system has been shown to be applicable under reasonable variations of orientation and/or lighting, and with the possibility of eye glasses. The system was also very robust against large variations of face features and eye shapes. The efficiency of the system was evaluated after being used for surveillance system and video browsing applications and the experimental results are discussed.

Original language	English (US)
Pages (from-to)	3553-3556
Number of pages	4
Journal	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume	6
State	Published - 1996
Event	Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA Duration: May 7 1996 → May 10 1996

All Science Journal Classification (ASJC) codes

Software
Signal Processing
Electrical and Electronic Engineering

Cite this

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title = "Probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing",

abstract = "A probabilistic decision-based neural network for finding deformable patterns or objects has been developed, especially for detecting human faces and locating eyes in the faces. The system has been shown to be applicable under reasonable variations of orientation and/or lighting, and with the possibility of eye glasses. The system was also very robust against large variations of face features and eye shapes. The efficiency of the system was evaluated after being used for surveillance system and video browsing applications and the experimental results are discussed.",

author = "Lin, {Shang Hung} and Yin Chan and Kung, {S. Y.}",

year = "1996",

language = "English (US)",

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journal = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

issn = "0736-7791",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

note = "Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) ; Conference date: 07-05-1996 Through 10-05-1996",

}

Probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing. / Lin, Shang Hung; Chan, Yin; Kung, S. Y.
In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Vol. 6, 1996, p. 3553-3556.

Research output: Contribution to journal › Conference article › peer-review

TY - JOUR

T1 - Probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing

AU - Lin, Shang Hung

AU - Chan, Yin

AU - Kung, S. Y.

PY - 1996

Y1 - 1996

N2 - A probabilistic decision-based neural network for finding deformable patterns or objects has been developed, especially for detecting human faces and locating eyes in the faces. The system has been shown to be applicable under reasonable variations of orientation and/or lighting, and with the possibility of eye glasses. The system was also very robust against large variations of face features and eye shapes. The efficiency of the system was evaluated after being used for surveillance system and video browsing applications and the experimental results are discussed.

AB - A probabilistic decision-based neural network for finding deformable patterns or objects has been developed, especially for detecting human faces and locating eyes in the faces. The system has been shown to be applicable under reasonable variations of orientation and/or lighting, and with the possibility of eye glasses. The system was also very robust against large variations of face features and eye shapes. The efficiency of the system was evaluated after being used for surveillance system and video browsing applications and the experimental results are discussed.

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M3 - Conference article

AN - SCOPUS:0029725826

SN - 0736-7791

VL - 6

SP - 3553

EP - 3556

JO - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

JF - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

T2 - Proceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6)

Y2 - 7 May 1996 through 10 May 1996

ER -

Probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing

Abstract

All Science Journal Classification (ASJC) codes

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