*Result*: In 2nd Workshop on Statistical Methods in Video Processing (SMVP)
Title:
In 2nd Workshop on Statistical Methods in Video Processing (SMVP)
Contributors:
The Pennsylvania State University CiteSeerX Archives
Publication Year:
2004
Collection:
CiteSeerX
Document Type:
*Academic Journal*
text
File Description:
application/pdf
Language:
English
Relation:
Availability:
Rights:
Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Accession Number:
edsbas.6EF0621F
Database:
BASE
*Further Information*
*We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty detection is the problem of classifying new observations from previous samples, as either novel or belonging to the background class. An adaptive background model, based on a linear PCA model in combination with local, spatial transformations, allows us to robustly model a variety of appearences. An incremental PCA algorithm is used, resulting in a fast and e#cient detection algorithm.*