Knowledge Commons of Institute of Automation,CAS
An object recognition approach based on structural feature for cluttered indoor scene | |
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) | |
2014 | |
会议名称 | The 11th IEEE International Conference on Networking, Sensing and Control |
会议录名称 | Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control |
会议日期 | 2014 |
会议地点 | Miami, United States |
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. |
关键词 | Indoor Scene Object Recognition Visual Sensor Network Structural Feature Inference Model |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/11723 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
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],2014. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
An Object Recognitio(1100KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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