| 基于全方位视觉的多目标跟踪技术 |
| |
| 引用本文： | 严杭晨,汤一平,马宝庆,田旭园,吴立娟.基于全方位视觉的多目标跟踪技术[J].计算机系统应用,2013,22(9):185-190. |
| |
| 作者姓名： | 严杭晨 汤一平 马宝庆 田旭园 吴立娟 |
| |
| 作者单位： | 浙江工业大学 信息工程学院, 杭州 310023;浙江工业大学 信息工程学院, 杭州 310023;浙江工业大学 信息工程学院, 杭州 310023;浙江工业大学 信息工程学院, 杭州 310023;浙江工业大学 信息工程学院, 杭州 310023 |
| |
| 基金项目： | 国家自然科学基金(61070134) |
| |
| 摘 要： | 为了快速准确地检测并跟踪多目标对象, 提出了一种基于全方位视觉的多目标对象跟踪方法. 首先采用全方位视觉传感器(ODVS)实时地采集现场360°全景视频图像;接着融合运动历史图像算法(MHI)和运动能量算法(MEI)实现了快速高效的MHoEI(Motion History or Energy Images)自动跟踪算法, 对多目标对象进行检测和跟踪;最后, 本文采用面向对象技术融合目标对象进行匹配跟踪实验结果表明本文提出的方法能较好地跟踪多目标对象, 具有鲁棒性高、运算量小、便于硬件实现、高效等优点.
|
| 关 键 词： | 多目标检测与跟踪 数据关联 ODVS 面向对象技术 MHoEI |
| 收稿时间： | 2013/3/12 0:00:00 |
| 修稿时间： | 4/7/2013 12:00:00 AM |
Multi-object Tracking Based on Omni-Directional Vision Sensor |
| |
| YAN Hang-Chen,TANG Yi-Ping,MA Bao-Qing,TIAN Xu-Yuan and WU Li-Juan.Multi-object Tracking Based on Omni-Directional Vision Sensor[J].Computer Systems& Applications,2013,22(9):185-190. |
| |
| Authors: | YAN Hang-Chen TANG Yi-Ping MA Bao-Qing TIAN Xu-Yuan and WU Li-Juan |
| |
| Affiliation: | College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China;College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China |
| |
| Abstract: | To rapidly and accurately detect and track multiple objects, this paper presents a method of multiple objects detection and tracking based on Omni-directional images. Firstly, getting 360-degree Omni-directional images by Omni-directional Vision Sensor in real time, which is an effective way to solve the problem of the multiple video source correlation. Secondly, the MHoEI algorithm that is created by combining Motion History Images algorithm with Motion Energy Images algorithm can efficiently detect and track multiple objects in this paper. Finally,the matching algorithm based on object oriented technology is proposed through fusing many properties of objects,which was used to identify different objects. The algorithm better solves the problem of data association of different properties. Experiment results show that the method in this paper can better track objects in complex background. The system has robustness, lightly computational load, high efficiency features. |
| |
| Keywords: | multiple objects detection and tracking data association ODVS object oriented technology Motion History or Energy Images algorithm |
|
| 点击此处可从《计算机系统应用》浏览原始摘要信息 |
|
点击此处可从《计算机系统应用》下载全文 |
|
