Distributed Object Detection With Linear SVMs
文献类型：期刊论文
| 作者 | Pang, Yanwei1; Zhang, Kun1; Yuan, Yuan2 ; Wang, Kongqiao3
|
| 刊名 | ieee transactions on cybernetics
 |
| 出版日期 | 2014-11-01 |
| 卷号 | 44期号:11页码:2122-2133 |
| 关键词 | Cell-based histograms of oriented gradients (CHOG) computer vision feature extraction linear classifier machine learning object detection |
| ISSN号 | 2168-2267 |
| 英文摘要 | in vision and learning, low computational complexity and high generalization are two important goals for video object detection. low computational complexity here means not only fast speed but also less energy consumption. the sliding window object detection method with linear support vector machines (svms) is a general object detection framework. the computational cost is herein mainly paid in complex feature extraction and innerproduct-based classification. this paper first develops a distributed object detection framework (dod) by making the best use of spatial-temporal correlation, where the process of feature extraction and classification is distributed in the current frame and several previous frames. in each framework, only subfeature vectors are extracted and the response of partial linear classifier (i.e., subdecision value) is computed. to reduce the dimension of traditional block-based histograms of oriented gradients (bhog) feature vector, this paper proposes a cell-based hog (chog) algorithm, where the features in one cell are not shared with overlapping blocks. using chog as feature descriptor, we develop chog-dod as an instance of dod framework. experimental results on detection of hand, face, and pedestrian in video show the superiority of the proposed method. |
| WOS标题词 | science & technology ; technology |
| 类目[WOS] | computer science, artificial intelligence ; computer science, cybernetics |
| 研究领域[WOS] | computer science |
| 关键词[WOS] | support vector machines ; face-recognition ; neuromuscular disorders ; tracking ; features ; localization ; diagnosis ; system |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000343319700012 |
| 公开日期 | 2015-03-18 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/22371]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 作者单位 | 1.Tianjin Univ, Sch Elect Informat Engn, Tianjin 300072, Peoples R China 2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Ctr Opt Imagery Anal & Learning, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China 3.Nokia Res Ctr, Beijing 100176, Peoples R China |
| 推荐引用方式 GB/T 7714 | Pang, Yanwei,Zhang, Kun,Yuan, Yuan,et al. Distributed Object Detection With Linear SVMs[J]. ieee transactions on cybernetics,2014,44(11):2122-2133. |
| APA | Pang, Yanwei,Zhang, Kun,Yuan, Yuan,&Wang, Kongqiao.(2014).Distributed Object Detection With Linear SVMs.ieee transactions on cybernetics,44(11),2122-2133. |
| MLA | Pang, Yanwei,et al."Distributed Object Detection With Linear SVMs".ieee transactions on cybernetics 44.11(2014):2122-2133. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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