High frame-rate tracking of multiple color-patterned objects

High frame-rate tracking of multiple color-patterned objects
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对多个颜色图案对象进行高帧率跟踪

DOI:
10.1007/s11554-013-0349-y
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发表时间:
2016
影响因子:
3
通讯作者:
I. Ishii
I. Ishii
中科院分区:
计算机科学4区
文献类型:
--
作者:
Qingyi Gu;T. Aoyama;T. Takaki;I. Ishii

文献摘要

被引文献

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在这项研究中,我们开发了一个高帧频视觉系统,通过实现扩展的基于细胞的标记算法作为硬件逻辑,可以在2000fps的512×512图像中执行基于颜色直方图的多个彩色图案对象的跟踪。在扩展单元标记算法的硬件实现中,通过计算0、1、2阶矩特征,同时将图像划分为8×8个单元,从而获得多个目标的位置、面积和方位角,从而同时提取图像中1,024个彩色图案化目标的16-bin色调直方图。我们通过使用多个彩色图案的对象执行了几个实验,验证了我们开发的跟踪系统的有效性,这些对象即使在相机视图中被遮挡的情况下快速移动时也会被跟踪。
In this study, we develop a high frame-rate vision system that can execute color histogram-based tracking of multiple color-patterned objects in a 512 × 512 image at 2,000 fps by implementing an expanded cell-based labeling algorithm as the hardware logic. In the hardware implementation of the expanded cell-based labeling algorithm, the 16-bin hue-based color histograms of 1,024 color-patterned objects in an image can be extracted simultaneously by dividing the image into 8 × 8 cells concurrently, after calculating the 0th, 1st, and 2nd moment features to obtain the positions, areas, and orientation angles of multiple objects. We verified the effectiveness of our developed tracking system by performing several experiments using multiple color-patterned objects, which were always tracked even when they moved rapidly with occlusions in the camera views.