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Detecting and tracking of traditional instrument with different camera vision

机译:具有不同摄像机视觉的传统仪器的检测和跟踪

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摘要

In this paper, we present an approach for detecting, recognizing and tracking varying number of objects through both have similarity shape and colors. The objects tracking is the varying notes of Indonesian traditional instrument called “gambang”. Our method build an idea how to recognize well the notes and classify each objects in real time tracking. The houghlines standard method is used to search the right lines of the shape of instrument. At the level of detecting object, the square and contours method is used. The real time tracking is based on the color of contour object using hsv color filter. We demonstrate the viability of this approach by experimenting on several videos of the instrument from different angle of view 2D camera. The instrument labeling testing with the camera view from the left side has 100% success, from the center side has 95% success, and from the right side has 90% success.
机译:在本文中,我们提出了一种通过形状和颜色相似的物体来检测,识别和跟踪变化数量的对象的方法。物体追踪是印度尼西亚传统乐器“ gambang”的不同音符。我们的方法建立了一个想法,即如何很好地识别笔记并在实时跟踪中对每个对象进行分类。 Houghlines标准方法用于搜索乐器形状的正确线。在检测物体的水平上,使用正方形和轮廓法。实时跟踪基于使用hsv滤色器的轮廓对象的颜色。我们通过从不同角度的2D相机对仪器的多个视频进行实验来证明这种方法的可行性。从左侧的摄像机视图进行的仪器标签测试成功率为100%,从中央的成功率为95%,从右侧的成功率为90%。

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