http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-102044073-B

Outgoing Links

Predicate Object
assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_0a726c45a4e29b3b5c3ad114f51aed6f
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-00
filingDate 2009-10-09-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 2013-05-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_137a1a9d0d77211d3c830bf2293c8837
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_f128962235df9cdf768331a86ba89e91
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_ea9ecf1db36dcda35ea46e6e8ee28db4
publicationDate 2013-05-29-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CN-102044073-B
titleOfInvention Method and system for judging crowd density in image
abstract The invention provides a method and system for judging the crowd density in an image. The method comprises the following steps: 1. selecting a target region from a video image sample acquired in an image acquisition device by utilizing a block analysis unit, and carrying out block analysis of image blocks in the target region; 2. determining the composite form of two-classifiers by a coding unit; 3. selecting a confidence training sample by a training unit, and respectively training each two-classifier; and 4. obtaining the crowd density grade category of the maximum posteriori probability through a decoding unit by means of a channel transmission model. The method can be suitable for obtaining the credible crowd density grade in different scenes and can provide the basis for crowd monitoring and safety guarantee of important regions.
priorityDate 2009-10-09-04:00^^<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/CID25572
http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID415713197

Total number of triples: 16.