Knowledge Commons of Institute of Automation，CAS
| Objectness estimation using edges | |
Hongzhen Wang ; Zikun Liu; Lingfeng Wang; Lubin Weng; Chunhong Pan
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| 2015 | |
| 会议名称 | IEEE International Conference on Image Processing |
| 会议日期 | 2015-9 |
| 会议地点 | Québec City, Canada |
| 摘要 | Generating object proposals before object detection has become a common way. In this paper, we present a novel method to measure the objectness of bounding boxes using edges. The contours play an important role in object localization and detection. The number of edges that are close to the boundary of a box has strong relationship with the likelihood of the box covering an object. In our method, we adopt a two-step scheme to generate object proposals. In the first step, we count the number of contours close to the box, where we use the proposed “Tile Algorithm” to wipe off the inner edges of a box. In the second step we re-rank the object proposals with a linear SVM classifier across all aspect-ratios for calibration. Experiments on the VOC2007 dataset show that we achieve 96.47% object detection rate with 1000 proposals. |
| 文献类型 | 会议论文 |
| 条目标识符 | http://ir.ia.ac.cn/handle/173211/20368 |
| 专题 | 多模态人工智能系统全国重点实验室_先进时空数据分析与学习 |
| 推荐引用方式 GB/T 7714 | Hongzhen Wang,Zikun Liu,Lingfeng Wang,et al. Objectness estimation using edges[C],2015. |
| 条目包含的文件 | 下载所有文件 | |||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Objectness estimatio（2509KB） | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 | ||
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