http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109191493-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20024 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10024 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20056 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20084 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-246 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-66 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-246 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-66 |
| filingDate | 2018-07-13-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2021-06-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-109191493-B |
| titleOfInvention | Target tracking method based on RefineNet neural network and sparse optical flow |
| abstract | The invention provides a target tracking method based on a RefineNet neural network and a sparse optical flow. The method does not use manual features, or depth features of spatial information output by a shallow network, or depth features with strong discrimination output by a deep network, but uses a RefineNet neural network to extract the depth features, fuses the depth features of the spatial information output by the shallow network and the depth features with strong discrimination output by the deep network, and tracks the central position of a tracked target on the basis of the fused depth features. For the change of the target area, the method respectively processes the change of the length and the width of the tracked target area by using the sparse optical flow, so that the method can cope with the target scale change with the changed length-width ratio, and the problem that the current target tracking algorithm cannot well cope with the target scale change with the changed length-width ratio is solved. The method is a robust tracking algorithm and can achieve good effect in different tracking scenes. |
| priorityDate | 2018-07-13-04:00^^<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/CID43672 http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID419535645 |
Total number of triples: 20.