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 journalConference article

5 Scopus citations

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 languageEnglish (US)
Pages (from-to)3553-3556
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume6
StatePublished - Jan 1 1996
EventProceedings of the 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 6) - Atlanta, GA, USA
Duration: May 7 1996May 10 1996

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Probabilistic decision-based neural network for locating deformable objects and its applications to surveillance system and video browsing'. Together they form a unique fingerprint.

  • Cite this