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An Empirical Study of Visual Features for Part Based Model
Junge Zhang; Yinan Yu; Shuai Zheng; Kaiqi Huang; Tieniu Tan
2011
会议名称The First Asian Conference on Pattern Recognition
会议录名称Pattern Recognition, 2011
页码219-223
会议日期2011
会议地点Beijing, China
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.
关键词Computer Vision   image Representation   object Detection 
语种英语
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/12696
专题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],2011:219-223.
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