CMOS dynamic linking networks for real-time human face tracking

Author

Spencer, R.G.

Author_Institution

Analog & Mixed-Signal Center, Texas A&M Univ., College Station, TX, USA

Volume

1

fYear

2000

fDate

2000

Firstpage

427

Abstract

Dynamic linking networks are very effective in locating human faces, as they are invariant to changes in position, orientation, scale, deformation, and partial lighting. Additionally, these networks are well suited for analog VLSI using very simple CMOS circuits such as programmable ring oscillators, strongly coupled diffusion lattices, and AC-coupled Hebbian synapses. Dynamic linking networks are orders of magnitude faster than digital computers, thus they provide a fast, efficient, and robust means of tracking faces in real-time. Transistor-level simulation results are presented for the .5 μm TSMC CMOS technology with 3-volt supply

Keywords

CMOS analogue integrated circuits; Hebbian learning; VLSI; analogue processing circuits; face recognition; feature extraction; neural chips; real-time systems; 0.5 micron; 3 V; AC-coupled Hebbian synapses; CMOS dynamic linking networks; TSMC CMOS technology; analog VLSI; deformation; orientation; partial lighting; position; programmable ring oscillators; real-time human face tracking; scale; strongly coupled diffusion lattices; transistor-level simulation results; CMOS analog integrated circuits; CMOS technology; Computer networks; Coupling circuits; Face; Humans; Joining processes; Lattices; Ring oscillators; Very large scale integration;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on

Conference_Location

Geneva

Print_ISBN

0-7803-5482-6

Type

conf

DOI

10.1109/ISCAS.2000.857122

Filename

857122