http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-107909600-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCAdditional | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-10016 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-30241 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T2207-20081 |
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-33 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T7-246 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01C11-36 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06T5-006 http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G01C11-00 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-33 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T7-246 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06T5-00 http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G01C11-36 |
| filingDate | 2017-11-04-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2021-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2021-05-11-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-107909600-B |
| titleOfInvention | Unmanned aerial vehicle real-time moving target classification and detection method based on vision |
| abstract | The invention discloses a vision-based real-time moving target classification and detection method for an unmanned aerial vehicle, wherein target identification is carried out by means of a leading edge technology of deep learning, the unmanned aerial vehicle accurately identifies similar target objects in a video through an advanced YOLOv2 algorithm, and statistics and marking are carried out on the similar target objects so as to be convenient for users to use; when a user selects a certain specific target object in the identified similar target objects at the ground station, the unmanned aerial vehicle system extracts the characteristics of the specific target object by using an ORB algorithm, continuously matches the characteristics of the similar target object extracted from each frame of video, and comprehensively obtains the finally matched specific target and the position of the specific target object by combining the motion track trend of the selected target. Specific target identification provides guarantee for subsequent automatic functions of automatic target tracking, accurate landing and the like. By the method, the real-time airborne target identification and detection of the unmanned aerial vehicle in a complex dynamic background are achieved, the identification of similar targets and specific targets is included, and the requirements of detection speed, precision and the like are met. |
| priorityDate | 2017-11-04-04:00^^<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/substance/SID419502926 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID5572 |
Total number of triples: 22.