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投影卡尔曼滤波器：三维位置的多目标跟踪场景理解Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding |
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| 课程网址: | http://videolectures.net/mlmi04uk_canton_mt3lt/ |
| 主讲教师: | Cristian Ferrer Canton |
| 开课单位: | 加泰罗尼亚理工大学 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper presents a novel approach to the problem of estimating and tracking 3D locations of multiple targets in a scene using measurements gathered from multiple calibrated cameras. Estimation and tracking is jointly achieved by a newly conceived computational process, the Projective Kalman —lter (PKF), allowing the problem to be treated in a single, uni—ed framework. The projective nature of observed data and information redundancy among views is exploited by PKF in order to overcome occlusions and spatial ambiguity. To demonstrate the e®ectiveness of the proposed algorithm, the authors present tracking results of people in a SmartRoom scenario and compare these results with existing methods as well. |
| 关 键 词: | 校准摄像机; 卡尔曼滤波器; 空间模糊 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-06-19：cxin |
| 阅读次数: | 110 |