Omnidirectional tracking and recognition of persons in planar views

In this paper a view-independent head tracking system applying an Active Shape Model based particle filter is used to find precise image sections. DCTmod2 feature sequences are extracted from these sections and given as input to Cyclic Pseudo two-dimensional Hidden Markov Model based classifiers. Th...

Full description

Saved in:
Bibliographic Details
Main Authors: Schreiber, S., Stormer, A., Rigoll, G.
Format: Conference Proceeding
Language:English
Subjects:
Active shape model
Face recognition
Feature extraction
Head
Hidden Markov models
Humans
Image databases
Monte Carlo Methods
Particle tracking
Pixel
Spatial databases
Surveillance
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper a view-independent head tracking system applying an Active Shape Model based particle filter is used to find precise image sections. DCTmod2 feature sequences are extracted from these sections and given as input to Cyclic Pseudo two-dimensional Hidden Markov Model based classifiers. These classifiers are trained to recognize the identity of the shown persons. The video material is recorded in an office environment with changing lighting conditions and thus results in a challenging task for both tracking and recognition. The overall performance of the system is evaluated depending on the various views of persons rotating on a swivel chair.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2008.4712045