||Face Detection and Recognition in Video-Streams
||Nielsen, Jannik Boll
||Larsen, Rasmus (Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark)
||Technical University of Denmark, DTU, DK-2800 Kgs. Lyngby, Denmark
||Using the Viola Jones face detection algorithm and Active Appearance Models,
it is shown that high success rate face-recognition in video-streams is possible
with a relatively low processing time.
Limitations in the Active Appearance Model Software by Stegmann et al. 
forced us discard the original thought of doing a recognition based on parameters
from a match, using a general model of the human face. Instead we decided
to build an Active Appearance Model representing the subject being searched
for, and use this model to do a recognition based on statistical thresholds of
Tests have proven very high success rates. Detection rate of faces in the videofootage
reached 98,38% with only 1,60% erroneous detections, recognition rates
per frame reached 66,67% with 0% erroneous and finally the overall sequence
recognitions proved a rate of 88,90% while maintaining 0% erroneous recognitions.
The test results clearly indicates that Active Appearance Models are capable of
doing high quality face recognitions. Extending the software in order to search
for more than one face can easily be done, the computing time however will be
doubled whenever the number of Active Appearance Models are being doubled.
Had it been possible to do the parameter based recognition, the computing
time of the recognition would have remained the same, however recognition of
multiple faces would not have any noticeable effect on the computing time.
||Technical University of Denmark (DTU) : Kgs. Lyngby, Denmark
Creation date: 2010-06-17
Update date: 2010-06-17