An object recognition approach based on structural feature for cluttered indoor scene
文献类型：会议论文
| 作者 | Yuan WB(袁文博) ; Cao ZQ(曹志强); Zhao P(赵鹏); Tan M(谭民); Yang YQ(杨月全); Yuan WB(袁文博)
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| 出版日期 | 2014 |
| 会议名称 | The 11th IEEE International Conference on Networking, Sensing and Control |
| 会议日期 | 2014 |
| 会议地点 | Miami, United States |
| 关键词 | indoor scene object recognition visual sensor network structural feature inference model |
| 通讯作者 | 袁文博 |
| 英文摘要 | In this paper, aiming at the indoor scene under monitoring by visual sensor network (VSN), an object recognition approach based on structural feature is presented. Firstly, we regard the output of existing line segment detector LSD with proper parameters as the preliminary extraction result and it still will be further restored and split. Then, we give an inference model based on structural features of object including line segment ontology characteristics and relative relationship between the line segments. Finally, the objects are recognized with position information through inference. The effectiveness of the approach is verified, and the results show that our approach does not rely on segmentation and has robustness on partial defect and structural deformation to some extent. |
| 会议录 | Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control
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| 源URL | [http://ir.ia.ac.cn/handle/173211/11723]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 通讯作者 | Yuan WB(袁文博) |
| 推荐引用方式 GB/T 7714 | Yuan WB,Cao ZQ,Zhao P,et al. An object recognition approach based on structural feature for cluttered indoor scene[C]. 见:The 11th IEEE International Conference on Networking, Sensing and Control. Miami, United States. 2014. |
入库方式： OAI收割
来源：自动化研究所
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