Virtual and Real World Adaptation for Pedestrian Detection
Publisher:
Year
: 2014DOI: 10.1109/TPAMI.2013.163
Keyword(s): image classification,learning (artificial intelligence),object detection,pedestrians,virtual reality,V-AYLA,adapted pedestrian classifier,domain adaptation framework,human-provided pedestrian annotations,object detector,pedestrian appearance model,pedestrian detection,pedestrian samples,real-world images,realistic virtual worlds,source domain,target domain,virtual-world based training,Accuracy,Cameras,Detectors,Image resolution,Interpolation,Testing,Training,Pedestrian d
Collections
:
-
Statistics
Virtual and Real World Adaptation for Pedestrian Detection
Show full item record
| contributor author | Vazquez, David | |
| contributor author | Lopez, Antonio M. | |
| contributor author | Marin, J. | |
| contributor author | Ponsa, Daniel | |
| contributor author | Geronimo, David | |
| date accessioned | 2020-03-12T18:27:00Z | |
| date available | 2020-03-12T18:27:00Z | |
| date issued | 2014 | |
| identifier issn | 0162-8828 | |
| identifier other | 6587038.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/958888?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Virtual and Real World Adaptation for Pedestrian Detection | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 7991386 | |
| subject keywords | image classification | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | object detection | |
| subject keywords | pedestrians | |
| subject keywords | virtual reality | |
| subject keywords | V-AYLA | |
| subject keywords | adapted pedestrian classifier | |
| subject keywords | domain adaptation framework | |
| subject keywords | human-provided pedestrian annotations | |
| subject keywords | object detector | |
| subject keywords | pedestrian appearance model | |
| subject keywords | pedestrian detection | |
| subject keywords | pedestrian samples | |
| subject keywords | real-world images | |
| subject keywords | realistic virtual worlds | |
| subject keywords | source domain | |
| subject keywords | target domain | |
| subject keywords | virtual-world based training | |
| subject keywords | Accuracy | |
| subject keywords | Cameras | |
| subject keywords | Detectors | |
| subject keywords | Image resolution | |
| subject keywords | Interpolation | |
| subject keywords | Testing | |
| subject keywords | Training | |
| subject keywords | Pedestrian d | |
| identifier doi | 10.1109/TPAMI.2013.163 | |
| journal title | Pattern Analysis and Machine Intelligence, IEEE Transactions on | |
| journal volume | 36 | |
| journal issue | 4 | |
| filesize | 2253065 | |
| citations | 0 |