Saliency Detection Based Region Extraction for Pedestrian Detection System with Thermal Imageries
A robust pedestrian detection approach in thermal infrared imageries for an all-day surveillance is proposed. Firstly, the candidate regions which are likely to contain pedestrians are extracted based on a saliency detection method. Then a deep convolutional network with a multi-task loss is constru...
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| Veröffentlicht in: | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences Communications and Computer Sciences, 2018/01/01, Vol.E101.A(1), pp.306-310 |
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| container_title | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
| container_volume | E101.A |
| creator | XU, Ming YU, Xiaosheng WU, Chengdong CHEN, Dongyue |
| description | A robust pedestrian detection approach in thermal infrared imageries for an all-day surveillance is proposed. Firstly, the candidate regions which are likely to contain pedestrians are extracted based on a saliency detection method. Then a deep convolutional network with a multi-task loss is constructed to recognize the pedestrians. The experimental results show the superiority of the proposed approach in pedestrian detection. |
| doi_str_mv | 10.1587/transfun.E101.A.306 |
| format | Article |
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| ispartof | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2018/01/01, Vol.E101.A(1), pp.306-310 |
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| language | eng |
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| source | J-STAGE Free |
| subjects | deep convolutional network pedestrian detection Pedestrians Salience saliency detection thermal infrared imageries |
| title | Saliency Detection Based Region Extraction for Pedestrian Detection System with Thermal Imageries |
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