An Empirical Study of Visual Features for Part Based Model
文献类型：会议论文
| 作者 | Junge Zhang ; Yinan Yu; Shuai Zheng; Kaiqi Huang; Tieniu Tan
|
| 出版日期 | 2011 |
| 会议日期 | 2011 |
| 会议地点 | Beijing, China |
| 关键词 | Computer Vision image Representation object Detection |
| 页码 | 219-223 |
| 英文摘要 | Object detection is a fundamental task in computer vision. Deformable part based model has achieved great success in the past several years, demonstrating very promising performance. Many papers emerge on part based model such as structure learning, learning more discriminative features. To help researchers better understand the existing visual features' potential for part based object detection and promote the deep research into part based object representation, we propose an evaluation framework to compare various visual features' performance for part based model. The evaluation is conducted on challenging PASCAL VOC2007 dataset which is widely recognized as a benchmark database. We adopt Average Precision (AP) score to measure each detector's performance. Finally, the full evaluation results are present and discussed. |
| 会议录 | Pattern Recognition, 2011
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12696]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Kaiqi Huang |
| 作者单位 | 中国科学院自动化研究所 |
| 推荐引用方式 GB/T 7714 | Junge Zhang,Yinan Yu,Shuai Zheng,et al. An Empirical Study of Visual Features for Part Based Model[C]. 见:. Beijing, China. 2011. |
入库方式： OAI收割
来源：自动化研究所
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