Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos
文献类型：会议论文
| 作者 | CaoXianbin ; WuChangxia ; YanPingkun ; LiXuelong |
| 出版日期 | 2011 |
| 会议名称 | 2011 18th ieee international conference on image processing, icip 2011 |
| 会议日期 | september 11, 2011 - september 14, 2015 |
| 会议地点 | brussels, belgium |
| 关键词 | Vehicle detection boosting HOG feature linear SVM urban environment |
| 页码 | 2421-2424 |
| 通讯作者 | cao xianbin |
| 英文摘要 | visual surveillance from low-altitude airborne platforms has been widely addressed in recent years. moving vehicle detection is an important component of such a system, which is a very challenging task due to illumination variance and scene complexity. therefore, a boosting histogram orientation gradients (boosting hog) feature is proposed in this paper. this feature is not sensitive to illumination change and shows better performance in characterizing object shape and appearance. each of the boosting hog feature is an output of an adaboost classifier, which is trained using all bins upon a cell in traditional hog features. all boosting hog features are combined to establish the final feature vector to train a linear svm classifier for vehicle classification. compared with classical approaches, the proposed method achieved better performance in higher detection rate, lower false positive rate and faster detection speed. |
| 收录类别 | EI |
| 产权排序 | 3 |
| 会议主办者 | ieee; ieee signal processing society |
| 会议录 | proceedings - international conference on image processing, icip
 |
| 会议录出版者 | ieee computer society |
| 会议录出版地 | 445 hoes lane - p.o.box 1331, piscataway, nj 08855-1331, united states |
| 语种 | 英语 |
| ISSN号 | 1522-4880 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/20138]  |
| 专题 | 西安光学精密机械研究所_瞬态光学技术国家重点实验室 |
| 推荐引用方式 GB/T 7714 | CaoXianbin,WuChangxia,YanPingkun,et al. Linear SVM classification using boosting HOG features for vehicle detection in low-altitude airborne videos[C]. 见:2011 18th ieee international conference on image processing, icip 2011. brussels, belgium. september 11, 2011 - september 14, 2015. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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