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Human position and head direction tracking in fisheye camera using randomized ferns and fisheye histograms of oriented gradients
The Visual Computer ( IF 3.5 ) Pub Date : 2019-09-17 , DOI: 10.1007/s00371-019-01749-9
Veerachart Srisamosorn , Noriaki Kuwahara , Atsushi Yamashita , Taiki Ogata , Shouhei Shirafuji , Jun Ota

This paper proposes a system for tracking human position and head direction using fisheye camera mounted to the ceiling. This is believed to be the first system to estimate head direction from ceiling-mounted fisheye camera. Fisheye histograms of oriented gradients descriptor is developed as a substitute to the histograms of oriented gradients descriptor which has been widely used for human detection in perspective camera. Human body and head are detected by the proposed descriptor and tracked to extract head area for direction estimation. Direction estimation using randomized ferns is adapted to work with fisheye images by using the proposed descriptor, guided by the direction of movement. With experiments on available dataset and new dataset with ground truth, the direction can be estimated with average error below $$40^{\circ }$$ 40 ∘ , with head position error half of the head size.

中文翻译:

使用随机蕨类植物和定向梯度的鱼眼直方图在鱼眼相机中跟踪人体位置和头部方向

本文提出了一种使用安装在天花板上的鱼眼镜头来跟踪人体位置和头部方向的系统。这被认为是第一个从天花板安装的鱼眼镜头估计头部方向的系统。定向梯度描述符的鱼眼直方图是作为定向梯度描述符直方图的替代品而开发的,定向梯度描述符已广泛用于透视相机中的人体检测。人体和头部由所提出的描述符检测并跟踪以提取头部区域以进行方向估计。使用随机蕨类植物的方向估计适用于通过使用提议的描述符在运动方向的指导下处理鱼眼图像。通过对可用数据集和具有地面实况的新数据集的实验,可以估计方向,平均误差低于 $$40^{\circ }$$ 40 ∘ ,
更新日期:2019-09-17
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