Title :
An automatic identification tracking system applied to motion analysis of industrial field
Author :
Li, Shuo ; Liu, Wei ; Xin, Daibao ; Qiao, Shuo
Author_Institution :
Sch. of Sci., Beijing Jiaotong Univ., Beijing, China
Abstract :
With the popularization of industrial automation, the efficiency requirement of manual work has been increased significantly. Motion analysis is a very good method to improve operational efficiency. However, because of its fixed observation equipment and narrow scope of view, the motion situation can´t be recorded comprehensively and accurately. This paper presents an automatic identification tracking system based on machine vision which is applied to motion analysis of industrial field. By controlling the rotation of steering head, the operator could be tracked automatically and real-time tracking records of operator can be achieved. The system adopts the target recognition algorithm based on symmetric difference and tracking algorithm based on centroid-tracking. In the laboratory, we designed and finally achieved the prototype system based on Mathematica, as software development platform and Arduino, as hardware development platform.
Keywords :
computer vision; factory automation; image motion analysis; object detection; software engineering; steering systems; Arduino; Mathematica; automatic identification tracking system; centroid tracking; hardware development platform; industrial automation; industrial field; machine vision; motion analysis; operational efficiency; real-time tracking records; software development platform; steering head rotation; symmetric difference; target recognition algorithm; Cameras; Charge coupled devices; Lighting; Machine vision; Target tracking; identification; industrial; motion analysis; track;
Conference_Titel :
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-8036-4
DOI :
10.1109/ICEICE.2011.5777949