DocumentCode :
1569925
Title :
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
Author :
Schreiber, S. ; Stormer, A. ; Rigoll, Gerhard
Author_Institution :
Inst. for Human-Machine-Commun., Technische Univer. Munchen, Germany
fYear :
2006
Firstpage :
1773
Lastpage :
1776
Abstract :
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two parts: Tracking the object and extracting distinctive features. In order to track a person, a system composed of an active shape model embedded in a particle filter framework has been built. The output-a shape representing the position and the geometry of the human´s head-serves as an initial guess for the following active appearance model, which enables high precision matching of the head´s texture. In this way raw features are transformed into appearance parameters, which finally can be used for a variety of classification tasks. The novelty of this framework is the hierarchical combination using the similarities of the models as well as exploiting their differences to enhance robustness and performance in complex scenarios.
Keywords :
face recognition; feature extraction; filtering theory; image classification; image matching; image representation; image texture; stochastic processes; tracking; video streaming; AAM; ASM; active appearance model; active shape model; automatic tracking; classifiable person feature; face recognition; feature extraction; hierarchical approach; high precision matching; human head texture; particle filter; position representation; stochastic framework; video streaming; Active appearance model; Active shape model; Face detection; Face recognition; Feature extraction; Head; Image edge detection; Particle tracking; Stochastic processes; Streaming media; Face recognition; Image processing; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2006 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1522-4880
Print_ISBN :
1-4244-0480-0
Type :
conf
DOI :
10.1109/ICIP.2006.312726
Filename :
4106894
Link To Document :
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