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Implementation of Disparity Information-based 3D Object Tracking

机译:基于视差信息的3D对象跟踪的实现

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摘要

In this paper, a new 3D object tracking system is suggested by using the disparity motion information extracted from input stereo image sequences. That is, in the proposed method, by using only the disparity information of input stereo image sequences, moving object can be detected and the location coordinates of the target are extracted and then, using these coordinate values the stereo object tracking is accomplished by just controlling the stereo camera that is mounted on a pan/tilt system. And at the same time, this disparity information can be sent to the receiver together with one of the input stereo image for multiview stereoscopic 3D image reconstruction of the target image under tracking. From some experiments with the 5 frames of the stereo image pairs having 256 x 256 pixels, it is shown that the proposed stereo tracking system can adaptively track the target object with a low error ratio of about 3.38 % on average between the detected and actual location coordinates of the target object.
机译:在本文中,通过使用从输入立体图像序列中提取的视差运动信息,提出了一种新的3D对象跟踪系统。即,在所提出的方法中,仅通过使用输入的立体图像序列的视差信息,就可以检测出运动物体并提取出目标的位置坐标,然后,利用这些坐标值,仅通过控制就可以完成立体物体的跟踪。安装在云台系统中的立体摄像机。并且同时,该视差信息可以与输入立体图像之一一起发送到接收器,以在跟踪下对目标图像进行多视图立体3D图像重建。从对具有256 x 256像素的5帧立体图像对的一些实验中可以看出,所提出的立体跟踪系统可以自适应地跟踪目标物体,在检测到的位置与实际位置之间平均平均误差率约为3.38%目标对象的坐标。

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