Introduction to Advances in Teaching and Learning Technologies Minitrack
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Year
: 2014DOI: 10.1109/iEECON.2014.6925906
Keyword(s): computer vision,feature extraction,image classification,learning (artificial intelligence),motorcycles,traffic engineering computing,KNN classifier,automatic system,automatic traffic monitoring,average correct motorcycle classification,computer vision approach,correct rider count,k-nearest-neighbor classifier,motorcycle recognition,motorcycle riders counting,motorcycle riders detection,moving objects extraction,passenger counting system,projection profiling,region properties
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Introduction to Advances in Teaching and Learning Technologies Minitrack
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| date accessioned | 2020-03-12T19:32:15Z | |
| date available | 2020-03-12T19:32:15Z | |
| date issued | 2014 | |
| identifier other | 6758605.pdf | |
| identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/981033?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Introduction to Advances in Teaching and Learning Technologies Minitrack | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8095479 | |
| subject keywords | computer vision | |
| subject keywords | feature extraction | |
| subject keywords | image classification | |
| subject keywords | learning (artificial intelligence) | |
| subject keywords | motorcycles | |
| subject keywords | traffic engineering computing | |
| subject keywords | KNN classifier | |
| subject keywords | automatic system | |
| subject keywords | automatic traffic monitoring | |
| subject keywords | average correct motorcycle classification | |
| subject keywords | computer vision approach | |
| subject keywords | correct rider count | |
| subject keywords | k-nearest-neighbor classifier | |
| subject keywords | motorcycle recognition | |
| subject keywords | motorcycle riders counting | |
| subject keywords | motorcycle riders detection | |
| subject keywords | moving objects extraction | |
| subject keywords | passenger counting system | |
| subject keywords | projection profiling | |
| subject keywords | region properties | |
| identifier doi | 10.1109/iEECON.2014.6925906 | |
| journal title | ystem Sciences (HICSS), 2014 47th Hawaii International Conference on | |
| filesize | 103241 | |
| citations | 0 | |
| contributor rawauthor | Spencer, David H. , Santanen, Eric L. , Ellis, Timothy J. |