Unattended object detection based on edge-segment distributions
| date accessioned | 2020-03-12T20:59:37Z | |
| date available | 2020-03-12T20:59:37Z | |
| date issued | 2014 | |
| identifier other | 6918682.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1033190?show=full | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Unattended object detection based on edge-segment distributions | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8158933 | |
| subject keywords | Computational modeling | |
| subject keywords | Computer vision | |
| subject keywords | Context | |
| subject keywords | Context modeling | |
| subject keywords | Labeling | |
| subject keywords | Robustness | |
| subject keywords | Training | |
| subject keywords | Context-based dense CRF | |
| subject keywords | Image Labeling | |
| subject keywords | Mean Field approximation | |
| identifier doi | 10.1109/ICIP.2014.7026187 | |
| journal title | dvanced Video and Signal Based Surveillance (AVSS), 2014 11th IEEE International Conference on | |
| filesize | 4787591 | |
| citations | 0 | |
| contributor rawauthor | Kim, Jaemyun , Rivera, Adin Ramirez , Ryu, Byungyong , Ahn, Kiok , Chae, Oksam |
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