近距离人体检测与跟踪用头戴式摄像机Close-Range Human Detection and Tracking for Head-Mounted Cameras |
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课程网址: | http://videolectures.net/bmvc2012_mitzel_human_detection/ |
主讲教师: | Dennis Mitzel |
开课单位: | 亚琛工业大学 |
开课时间: | 2012-10-09 |
课程语种: | 英语 |
中文简介: | 本文从头部立体摄像机的角度考虑了多人检测问题。由于传统的全身探测器由于强遮挡而无法检测到靠近摄像机的行人,我们提出了一种基于立体深度模板的近距离行人检测方法。我们执行一个滑动窗口程序,在这里我们测量一个学习的深度模板和深度图像之间的相似性。为了减少探测器的搜索空间,我们只将探测器滑动到根据深度信息生成的几个选定的感兴趣区域。感兴趣的区域选择允许我们进一步限制要评估的尺度数量,从而显著降低计算成本。在拥挤的商业街场景中,我们对头部安装的摄像机拍摄的立体序列进行了实验,结果表明,我们的方法在这个非常具有挑战性的数据上取得了优异的性能。 |
课程简介: | In this paper we consider the problem of multi-person detection from the perspective of a head mounted stereo camera. As pedestrians close to the camera cannot be detected by classical full-body detectors due to strong occlusion, we propose a stereo depth-template based detection approach for close-range pedestrians. We perform a sliding window procedure, where we measure the similarity between a learned depth template and the depth image. To reduce the search space of the detector we slide the detector only over few selected regions of interest that are generated based on depth information. The region-of-interest selection allows us to further constrain the number of scales to be evaluated, significantly reducing the computational cost. We present experiments on stereo sequences recorded from a head-mounted camera setup in crowded shopping street scenarios and show that our proposed approach achieves superior performance on this very challenging data. |
关 键 词: | 头戴摄像机; 人体监测; 检测器 |
课程来源: | 视频讲座网 |
最后编审: | 2019-12-17:lxf |
阅读次数: | 61 |