Paper Info
Title
Omnidirectional tracking and recognition of persons in planar views
Abstract
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.
Year
DOI
Venue
2008
10.1109/ICIP.2008.4712045
ICIP
Keywords
Field
DocType
particle filtering (numerical methods),shape recognition,face recognition,tracking filters,dctmod2 feature sequences,active shape model,cyclic pseudo 2d hidden markov model,surveillance,view-independent head tracking system,monte carlo methods,particle filter,index terms— monte carlo methods,feature extraction,hidden markov models,image sequences,person recognition,omnidirectional tracking,pixel,shape,indexing terms,hidden markov model,lighting,monte carlo method,head
Active shape model,Facial recognition system,Computer vision,Omnidirectional antenna,Pattern recognition,Computer science,Particle filter,Feature extraction,Planar,Pixel,Artificial intelligence,Hidden Markov model
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-1764-3
978-1-4244-1764-3
0
PageRank 
References 
Authors
0.34
5
3
Name
Order
Citations
PageRank
Sascha Schreiber182.13
Andre Störmer291.33
Gerhard Rigoll32788268.87