Open AccessObject Tracking System on Ultrawide Video from Double Camera using Motion Detector
Author(s) -
Tiara Cahya Atikasari,
Yessi Jusman,
Ramadoni Syahputra,
Widyasmoro
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1471/1/012044
Subject(s) - computer vision , artificial intelligence , computer science , image stitching , laptop , video tracking , initialization , detector , computer graphics (images) , tracking system , python (programming language) , tracking (education) , match moving , motion (physics) , object (grammar) , psychology , telecommunications , pedagogy , filter (signal processing) , programming language , operating system
This research aims to design, test, and analyze the object tracking application system using a motion detector method that is able to take the output image of several cameras by combining the output images of the two cameras into a wider field of view (FOV). This research uses 2 cameras, i3-6006U laptop camera and Logitech C270 HD webcam using OpenCV and python programming language. The stitching results from the initialization of the two cameras are able to detect the motion of objects performed on panoramatic videos in realtime by showing time in detail starting from days, dates, hours, minutes and seconds. This object tracking application system has been tested in Adi Sucipto airport exactly in the area of arrival and departure of passengers. The system can detected the motion in the stitching images by exploring it in red rectanguler in the real time video.