accelerating vehicle detection in low-altitude airborne urban video
文献类型：会议论文
| 作者 | Cao Xianbin ; Lin Renjun ; Yan Pingkun ; Li Xuelong |
| 出版日期 | 2011 |
| 会议名称 | 6th International Conference on Image and Graphics, ICIG 2011 |
| 会议日期 | August 12, 2011 - August 15, 2011 |
| 会议地点 | Hefei, Anhui, China |
| 关键词 | Adaptive boosting |
| 页码 | 648-653 |
| 中文摘要 | The limitation of the existing methods of traffic data collection is that they rely on techniques that are strictly local in nature. The airborne system in unmanned aircrafts provides the advantages of wider view angle and higher mobility. However, detecting vehicles in airborne videos is a challenging task because of the scene complexity and platform movement. Most of the techniques used in stationary platforms cannot perform well in this situation. A new and efficient method based on Bayes model is proposed in this paper. This method can be divided into two stages, attention focus extraction and vehicle classification. Experimental results demonstrated that, compared with other representative algorithms, our method obtained better performance with higher detection rate, lower false positive rate and faster detection speed. © 2011 IEEE. |
| 英文摘要 | The limitation of the existing methods of traffic data collection is that they rely on techniques that are strictly local in nature. The airborne system in unmanned aircrafts provides the advantages of wider view angle and higher mobility. However, detecting vehicles in airborne videos is a challenging task because of the scene complexity and platform movement. Most of the techniques used in stationary platforms cannot perform well in this situation. A new and efficient method based on Bayes model is proposed in this paper. This method can be divided into two stages, attention focus extraction and vehicle classification. Experimental results demonstrated that, compared with other representative algorithms, our method obtained better performance with higher detection rate, lower false positive rate and faster detection speed. © 2011 IEEE. |
| 收录类别 | EI |
| 会议主办者 | National Natural Science Foundation of China; Chinese Academy of Science; Microsoft Research Asia; Xian Institute of Optics and Precision Mechanics of CAS; Anhui Crearo Technology Co., Ltd |
| 会议录 | Proceedings - 6th International Conference on Image and Graphics, ICIG 2011
 |
| 语种 | 英语 |
| ISBN号 | 9780769545417 |
| 源URL | [http://ir.iscas.ac.cn/handle/311060/16319]  |
| 专题 | 软件研究所_软件所图书馆_会议论文 |
| 推荐引用方式 GB/T 7714 | Cao Xianbin,Lin Renjun,Yan Pingkun,et al. accelerating vehicle detection in low-altitude airborne urban video[C]. 见:6th International Conference on Image and Graphics, ICIG 2011. Hefei, Anhui, China. August 12, 2011 - August 15, 2011. |
入库方式： OAI收割
来源：软件研究所
浏览0
下载0
收藏0
其他版本
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。