Object Tracking System on Ultrawide Video from Double Camera using Motion Detector
Tiara Cahya Atikasari, Yessi Jusman, Ramadoni Syahputra, Widyasmoro
Departement of Electrical Engineering, Faculty of Engineering, Universitas Muhammadiyah Yogyakarta, Tamantirto, Kasihan, Bantul, Daerah Istimewa Yogyakarta 55183
Abstract
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
Keywords: object tracking, image stitching, motion detector, image processing, video processing
Topic: International Symposium of Engineering, Technology, and Health Sciences