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A Novel Method of 3D Motion Object’s Position Perception

Author(s): Tan Wei; Xuan Liu; Chen Yi; Erfu Yang

Linked Author(s): Xuan Liu

Keywords: No keywords

Abstract: With the development of industrial automation, location measurement of 3D objects is becoming more and more important, especially as it can provide necessary positional parameters for the manipulator to grasp the object accurately. In view of the disabled object which is in widespread use currently, its image is captured to obtain positional parameters and transmitted to manipulators in industry. The above process is delayed, affecting the work efficiency of the manipulator. A method for calculating the position information of target object in motion is proposed. This method uses monocular vision technology to track 3D moving objects,then uses contour sorting method to extract the minimum constrained contour rectangle, and combines the video alignment technology to realize the tracking. Thus, the measurement error is reduced. The experimental results and analysis show that the adopted measurement method is effective.

DOI: https://doi.org/10.1051/matecconf/201824603020

Year: 2018

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