Title :
Design and implementation of video-rate real-time systems incorporating neural networks: experiments and experience
Author_Institution :
Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
Abstract :
Summary form only given. The Hannibal system for video-rate facial feature detection is briefly described. The eventual application of the system is in ultra-low-bit-rate video telephony using model based coding and image generation techniques. The use of a hierarchy of neural nets together with temporal and spatial filters and maximum-likelihood classifiers provides a robust system
Keywords :
face recognition; feature extraction; image coding; neural chips; spatial filters; videotelephony; Hannibal system; image generation; maximum likelihood classifiers; model based coding; neural networks; real time systems; spatial filters; temporal filters; video rate facial feature detection; video telephony; Face detection; Facial features; Image coding; Image generation; Maximum likelihood detection; Neural networks; Real time systems; Robustness; Spatial filters; Telephony;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1993. Proceedings., First New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-4260-2
DOI :
10.1109/ANNES.1993.323076
