Mine like object detection and recognition based on intrackability and improved BOW
文献类型：会议论文
| 作者 | Yu SQ(余思泉) ; Shao, Jinxin; Han Z(韩志); Gao L(高雷); Lin Y(林扬); Tang YD(唐延东); Wu CD(吴成东)
|
| 出版日期 | 2016 |
| 会议名称 | 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016 |
| 会议日期 | June 19-22, 2016 |
| 会议地点 | Chengdu, China |
| 页码 | 222-227 |
| 通讯作者 | 韩志 |
| 中文摘要 | In this paper, we present an automatic system of mine like object detection and recognition for sonar videos. This system is implemented with two main methods. One is the object detection and segmentation with intrackability, another is object recognition of mine like based on improved BOW algorithm and Support Vector Machine (SVM). Intrackability is defined by the concept of entropy, and can reflect the difficulty and uncertainty in tracking certain elements on the time axis. Therefore, our segmentation and detection method can effectively eliminate complex noise in sonar image to guarantee the more accurate object segmentation and detection. In our recognition method of mine like object, we use an improved BOW and SVM to implement the more accurate recognition for mine like objects. In the method, an improved BOW algorithm is utilized for image feature extraction, due to that it can represent local and global feature of image in a more comprehensive way; and then the object recognition is implemented with SVM. Our extensive experiments show that our system can accurately detect and recognize mine like objects in real-time. |
| 收录类别 | EI ; CPCI（ISTP） |
| 产权排序 | 1 |
| 会议录 | 6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | Piscataway, NJ, USA |
| 语种 | 英语 |
| ISSN号 | 2379-7711 |
| ISBN号 | 978-1-5090-2732-3 |
| WOS记录号 | WOS:000389835200042 |
| 源URL | [http://ir.sia.cn/handle/173321/19304]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 推荐引用方式 GB/T 7714 | Yu SQ,Shao, Jinxin,Han Z,et al. Mine like object detection and recognition based on intrackability and improved BOW[C]. 见:6th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2016. Chengdu, China. June 19-22, 2016. |
入库方式： OAI收割
来源：沈阳自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。