http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-106056627-B

Outgoing Links

Predicate Object
classificationCPCAdditional http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081
classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-20
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-46
filingDate 2016-05-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2018-10-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationDate 2018-10-23-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-106056627-B
titleOfInvention A kind of robust method for tracking target based on local distinctive rarefaction representation
abstract The invention discloses a kind of robust target tracking algorisms based on local distinctive sparse representation model, first, multiple and different templates that target to be tracked is intercepted from first frame image carry out piecemeal to each template, and the sub-block for being in identical corresponding position in all templates are considered as a sample class;Secondly, feature extraction is carried out to each image block with HOG feature extracting methods, LC-KSVD algorithms is used in combination to carry out distinctive dictionary learning;Then, local distinctive sparse representation model is added to the position predicted in average drifting frame where target;Finally, in order to overcome the variation of target appearance during tracking, it is proposed that a kind of dictionary online updating method, to realize that the duration to target models.Each own feature of target image block is not only utilized in the present invention, is also modeled to target appearance by introducing the authentication information between different classes of image block to realize the tracking to target, therefore has stronger robustness.
priorityDate 2016-05-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

Incoming Links

Predicate Subject
isDiscussedBy http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID6436605
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID426106964

Total number of triples: 15.