A novel method of 3D motion object's position perception

Wei, Tan and Liu, Xuan and Yi, Chen and Yang, Erfu (2018) A novel method of 3D motion object's position perception. MATEC Web of Conferences, 246. 03020. ISSN 2261-236X (https://doi.org/10.1051/matecconf/201824603020)

[thumbnail of Wei-etal-MATEC2018-A-novel-method-3D-motion-object's-position-perception]
Preview
 Text. Filename: Wei_etal_MATEC2018_A_novel_method_3D_motion_object_s_position_perception.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (1MB)| Preview

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.

CORE (COnnecting REpositories)