Domain Adaptation for Pedestrian Detection Based on Prediction Consistency
Pedestrian detection is an active area of research in computer vision. It remains a quite challenging problem in many applications where many factors cause a mismatch between source dataset used to train the pedestrian detector and samples in the target scene. In this paper, we propose a novel domai...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/280382 |
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| _version_ | 1850176798170546176 |
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| author | Yu Li-ping Tang Huan-ling An Zhi-yong |
| author_facet | Yu Li-ping Tang Huan-ling An Zhi-yong |
| author_sort | Yu Li-ping |
| collection | DOAJ |
| description | Pedestrian detection is an active area of research in computer vision. It remains a quite challenging problem in many applications where many factors cause a mismatch between source dataset used to train the pedestrian detector and samples in the target scene. In this paper, we propose a novel domain adaptation model for merging plentiful source domain samples with scared target domain samples to create a scene-specific pedestrian detector that performs as well as rich target domain simples are present. Our approach combines the boosting-based learning algorithm with an entropy-based transferability, which is derived from the prediction consistency with the source classifications, to selectively choose the samples showing positive transferability in source domains to the target domain. Experimental results show that our approach can improve the detection rate, especially with the insufficient labeled data in target scene. |
| format | Article |
| id | doaj-art-bd8cfa1cfcc14b93b38230778cfbd614 |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-bd8cfa1cfcc14b93b38230778cfbd6142025-08-20T02:19:11ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/280382280382Domain Adaptation for Pedestrian Detection Based on Prediction ConsistencyYu Li-ping0Tang Huan-ling1An Zhi-yong2Key Laboratory of Intelligent Information Processing, Universities of Shandong (Shandong Institute of Business and Technology), Yantai 264005, ChinaSchool of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai 264005, ChinaKey Laboratory of Intelligent Information Processing, Universities of Shandong (Shandong Institute of Business and Technology), Yantai 264005, ChinaPedestrian detection is an active area of research in computer vision. It remains a quite challenging problem in many applications where many factors cause a mismatch between source dataset used to train the pedestrian detector and samples in the target scene. In this paper, we propose a novel domain adaptation model for merging plentiful source domain samples with scared target domain samples to create a scene-specific pedestrian detector that performs as well as rich target domain simples are present. Our approach combines the boosting-based learning algorithm with an entropy-based transferability, which is derived from the prediction consistency with the source classifications, to selectively choose the samples showing positive transferability in source domains to the target domain. Experimental results show that our approach can improve the detection rate, especially with the insufficient labeled data in target scene.http://dx.doi.org/10.1155/2014/280382 |
| spellingShingle | Yu Li-ping Tang Huan-ling An Zhi-yong Domain Adaptation for Pedestrian Detection Based on Prediction Consistency The Scientific World Journal |
| title | Domain Adaptation for Pedestrian Detection Based on Prediction Consistency |
| title_full | Domain Adaptation for Pedestrian Detection Based on Prediction Consistency |
| title_fullStr | Domain Adaptation for Pedestrian Detection Based on Prediction Consistency |
| title_full_unstemmed | Domain Adaptation for Pedestrian Detection Based on Prediction Consistency |
| title_short | Domain Adaptation for Pedestrian Detection Based on Prediction Consistency |
| title_sort | domain adaptation for pedestrian detection based on prediction consistency |
| url | http://dx.doi.org/10.1155/2014/280382 |
| work_keys_str_mv | AT yuliping domainadaptationforpedestriandetectionbasedonpredictionconsistency AT tanghuanling domainadaptationforpedestriandetectionbasedonpredictionconsistency AT anzhiyong domainadaptationforpedestriandetectionbasedonpredictionconsistency |