EXAMPLE-BASED LEARNING FOR SILHOUETTE-BASED PEDESTRIAN DETECTION | |
Su, Song-Zhi ; Li, Shao-Zi ; Su SZ(苏松志) ; Li SZ(李绍滋) | |
2010 | |
关键词 | OBJECT DETECTION |
英文摘要 | Conference Name:4th International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2009). Conference Address: Hasselt, BELGIUM. Time:NOV 27-28, 2009.; Pedestrian detection is here formulated as a binary classification problem, by recognizing human body patterns from examples Aiming at the moving objects classification in intelligent video surveillance system where camera is often stationary, we first extract their silhouette by background subtraction, and use a novel feature based on silhouette to represent pedestrian, then model pedestrian patterns by Gaussian Mixture Models Experimental result shows that our proposed method is efficient |
语种 | 英语 |
出处 | http://dx.doi.org/10.1142/9789814295062_0072 |
出版者 | WD SCI P COMP ENG |
内容类型 | 其他 |
源URL | [http://dspace.xmu.edu.cn/handle/2288/86447] ![]() |
专题 | 信息技术-会议论文 |
推荐引用方式 GB/T 7714 | Su, Song-Zhi,Li, Shao-Zi,Su SZ,et al. EXAMPLE-BASED LEARNING FOR SILHOUETTE-BASED PEDESTRIAN DETECTION. 2010-01-01. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论