Uniprojective Features for Gait Recognition
文献类型：会议论文
| 作者 | Daoliang Tan; Kaiqi Huang ; Shiqi Yu; Tieniu Tan
|
| 出版日期 | 2007 |
| 会议日期 | 2007 |
| 会议地点 | Seoul, Korea |
| 关键词 | Gait Recognition projective Features pca |
| 页码 | 673-682 |
| 英文摘要 | Recent studies have shown that shape cues should dominate gait recognition. This motivates us to perform gait recognition through shape features in 2D human silhouettes. In this paper, we propose six simple projective features to describe human gait and compare eight kinds of projective features to figure out which projective directions are important to walker recognition. First, we normalize each original human silhouette into a square form. Inspired by the pure horizontal and vertical projections used in the frieze gait patterns, we explore the positive and negative diagonal projections with or without normalizing silhouette projections and obtain six new uniprojective features to characterize walking gait. Then this paper applies principal component analysis (PCA) to reduce the dimension of raw gait features. Finally, we recognize unknown gait sequences using the Mahalanobis-distance-based nearest neighbor rule. Experimental results show that the horizontal and diagonal projections have more discriminative clues for the side-view gait recognition and that the projective normalization generally can improve the robustness of projective features against the noise in human silhouettes. |
| 会议录 | International Conference on Advances in Biometrics, 2007
 |
| 语种 | 英语 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/12721]  |
| 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 | Daoliang Tan,Kaiqi Huang,Shiqi Yu,et al. Uniprojective Features for Gait Recognition[C]. 见:. Seoul, Korea. 2007. |
入库方式： OAI收割
来源：自动化研究所
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