Objectness estimation using edges
文献类型：会议论文
| 作者 | Hongzhen Wang ; Zikun Liu; Lingfeng Wang; Lubin Weng; Chunhong Pan
|
| 出版日期 | 2015 |
| 会议日期 | 2015-9 |
| 会议地点 | Québec City, Canada |
| 英文摘要 | 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. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/20368]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_遥感图像处理团队 |
| 推荐引用方式 GB/T 7714 | Hongzhen Wang,Zikun Liu,Lingfeng Wang,et al. Objectness estimation using edges[C]. 见:. Québec City, Canada. 2015-9. |
入库方式： OAI收割
来源：自动化研究所
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