Pedestrian Detection Based on Clustered Poselet Models and Hierarchical AND-OR Grammar
文献类型：期刊论文
| 作者 | Li, Bo1; Chen, Yaobin2,3; Wang, Fei-Yue1
|
| 刊名 | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
 |
| 出版日期 | 2015-04-01 |
| 卷号 | 64期号:4页码:1435-1444 |
| 关键词 | AND-OR graph clustered poselet computer vision pedestrian detection |
| 英文摘要 | In this paper, a novel part-based pedestrian detection algorithm is proposed for complex traffic surveillance environments. To capture posture and articulation variations of pedestrians, we define a hierarchical grammar model with the AND-OR graphical structure to represent the decomposition of pedestrians. Thus, pedestrian detection is converted to a parsing problem. Next, we propose clustered poselet models, which use the affinity propagation clustering algorithm to automatically select representative pedestrian part patterns in keypoint space. Trained clustered poselets are utilized as the terminal part models in the grammar model. Finally, after all clustered poselet activations in the input image are detected, one bottom-up inference is performed to effectively search maximum a posteriori (MAP) solutions in the grammar model. Thus, consistent poselet activations are combined into pedestrian hypotheses, and their bounding boxes are predicted. Both appearance scores and geometry constraints among pedestrian parts are considered in inference. A series of experiments is conducted on images, both from the public TUD-Pedestrian data set and collected in real traffic crossing scenarios. The experimental results demonstrate that our algorithm outperforms other successful approaches with high reliability and robustness in complex environments. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Electrical & Electronic ; Telecommunications ; Transportation Science & Technology |
| 研究领域[WOS] | Engineering ; Telecommunications ; Transportation |
| 关键词[WOS] | PART DETECTORS ; SYSTEMS ; SEGMENTATION ; MULTIPLE ; TRACKING ; HUMANS ; SINGLE |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000353111900015 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/8113]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Indiana Univ Purdue Univ, Dept Elect & Comp Engn, Indianapolis, IN 46202 USA 3.Indiana Univ Purdue Univ, Transportat Act Safety Inst, Indianapolis, IN 46202 USA |
| 推荐引用方式 GB/T 7714 | Li, Bo,Chen, Yaobin,Wang, Fei-Yue. Pedestrian Detection Based on Clustered Poselet Models and Hierarchical AND-OR Grammar[J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,2015,64(4):1435-1444. |
| APA | Li, Bo,Chen, Yaobin,&Wang, Fei-Yue.(2015).Pedestrian Detection Based on Clustered Poselet Models and Hierarchical AND-OR Grammar.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,64(4),1435-1444. |
| MLA | Li, Bo,et al."Pedestrian Detection Based on Clustered Poselet Models and Hierarchical AND-OR Grammar".IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 64.4(2015):1435-1444. |
入库方式： OAI收割
来源：自动化研究所
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