Show simple item record

Detection of Abnormal Visual Events via Global Optical Flow Orientation Histogram

contributor authorTian Wang
contributor authorSnoussi, Hichem
date accessioned2020-03-12T23:56:36Z
date available2020-03-12T23:56:36Z
date issued2014
identifier issn1556-6013
identifier other6784016.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1128870?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleDetection of Abnormal Visual Events via Global Optical Flow Orientation Histogram
typeJournal Paper
contenttypeMetadata Only
identifier padid8309116
subject keywordsimage classification
subject keywordsimage sequences
subject keywordslearning (artificial intelligence)
subject keywordsobject detection
subject keywordssupport vector machines
subject keywordsvideo surveillance
subject keywordsabnormal visual event detection
subject keywordsbackground subtraction step
subject keywordsglobal optical flow orientation histogram
subject keywordsimage descriptor
subject keywordslearning period
subject keywordsnonlinear one-class support vector machine classification algorithm
subject keywordsoptical flow computation fusion
subject keywordstraining frames normal behavior
subject keywordsvideo frame
subject keywordsvideo streams
subject keywordsvideo surveillance
subject keywordsFeature extraction
subject keywordsHistograms
subject keywordsNonline
identifier doi10.1109/TIFS.2014.2315971
journal titleInformation Forensics and Security, IEEE Transactions on
journal volume9
journal issue6
filesize3722719
citations2


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record