A SVM-based classifier with shape and motion features for a pedestrian detection system
文献类型：会议论文
| 作者 | Chen, D.; Cao, X. B.; Xu, Y. X.; Qiao, H. ; Wang, F. Y.
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| 出版日期 | 2006 |
| 会议名称 | IEEE Intelligent Vehicles Symposium |
| 会议日期 | JUN 13-15, 2006 |
| 会议地点 | Meguroku, JAPAN |
| 关键词 | image classification / image motion analysis / object detection / support vector machines / traffic engineering computing / SVM-based classifier / decomposed SVM algorithm / motion features / pedestrian detection system / shape features |
| 通讯作者 | Chen, D. |
| 英文摘要 | The most critical requirement of a pedestrian detection system is to quickly recognize pedestrians in an image. However, the huge number of candidate regions and the complexity of scenes usually make the recognition slow and unreliable. An efficient classifier is needed for a pedestrian detection system. In this paper, a decomposed SVM algorithm is used to train a classifier for pedestrian detection. The algorithm is stable and suitable for training a classifier with a large number of samples and the derived classifier is very efficient. Meanwhile, considering that our system is based on a single camera and the scenes are always complex, it is difficult to train a good classifier only with shape features. To solve these problems, we integrate shape information with motion information to compose a feature set and use it to train a classifier. Experiments show that our system based on this classifier works very well. Furthermore, we discuss the effect of applying motion features. With a proper percentage, motion features will be a good complement of the shape features in complex. scenes. Comparison between application of shape features and application of both shape and motion features shows the advantage of our method. |
| 会议录 | 2006 IEEE INTELLIGENT VEHICLES SYMPOSIUM
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| 源URL | [http://ir.ia.ac.cn/handle/173211/12859]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 作者单位 | Univ Sci & Technol China, Dept Comp Sci & Technol |
| 推荐引用方式 GB/T 7714 | Chen, D.,Cao, X. B.,Xu, Y. X.,et al. A SVM-based classifier with shape and motion features for a pedestrian detection system[C]. 见:IEEE Intelligent Vehicles Symposium. Meguroku, JAPAN. JUN 13-15, 2006. |
入库方式： OAI收割
来源：自动化研究所
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