Digital image stabilization for the experimental verification of object motion trajectories
Keywords:camera, BLOB, experiment, digital image
The article presents digital stabilization procedure of the image recorded with a camera performing unintentional spatial movement in relation to the scene. This method consists in carrying out translational and rotational transformations and scaling all frames in relation to the first one, using the tools of the Matlab environment. The image stabilization procedure allows to effectively improve the image to make it suitable for the analysis of the tracked objects trajectories on the scene, observed from the camera located on the rotor drone.
Rudnicki Z. (2010) Methods of computer image analysis in tribological research. AGH Publishing House, Krakow.
Dalka P. (2014) Methods of algorithmic video image analysis for use in road traffic monitoring, PhD thesis. Gdansk University of Technology.
Piatkowski T., Wolski M., Osowski P. (2018) Method for determining motion trajectories of characteristic points registered by a video camera. Engineering Mechanics, 24rd International Conference Engineering Mechanics, Svratka, Czech Republic, 14-17.05.2018, 677-680.
Piatkowski T., Wolski M., Tomaszewski T., Strzelecki P., Sempruch J. (2021) Analysis of the positioning process of objects on an oblique plane with barrier. Mechanism and Machine Theory, 168, p. 28.
Guilluy W., Oudre L., Beghdadi A. (2021) Video stabilization: Overview, challenges and perspectives. Signal Processing: Image Communication, 90.
Lee T.H., Lee Y., Song B. C. (2014) Fast 3D video stabilization using ROI-based warping. Journal of Visual Communication and Image Representation, 25, 943-950.
Wang Y., Huang Q., Jiang C., Liu J., Shang M., Miao Z., (2023) Video stabilization: A comprehensive survey, Neurocomputing, 516, 205-230.
Ren Z., Chen C., Fang M. (2021) Self-calibration method of gyroscope and camera in video stabilization. 2021 International Conference on Electronic Information Engineering and Computer Science, September, 23-26 2021, Changchun, China.
Pavlovic M., Banjac Z., Kovacevic B. (2022) Digital Video Stabilization Verification Based on Genetic Algorithm Template Matching. Advances in Electrical and Computer Engineering, 22, 53-60.
Goshtasby A. (1986) Piecewise linear mapping functions for image registration. Pattern Recognition. 19, 459-466.
Goshtasby A., Image registration by local approximation methods, Image and Vision Computing, 6, 1988, 255-261.
Piątkowski T., Sutowski K. (2021) Method and device for the final separation of objects in the two-stage sorting method. patent No. 237294.
European Regional Development Fund under a grant NCBR POIR.04.01.04-00-0006/19, titled Cross-belt system for automated sorting of unit loads by a two-stage method, realized in the years 2019-2022.
Jia, T., Sun N., Cao M. (2008) Moving object detection based on blob analysis. IEEE International Conference on Automation and Logistics. Qingadao, China,. 322-325.
Moeslund T. B. (2012) Introduction to video and image processing: building real systems and applications. Undergraduate Topics in Computer Science book series, Aalborg, Denmark.
Copyright (c) 2023 Journal of Automation, Electronics and Electrical Engineering
This work is licensed under a Creative Commons Attribution 4.0 International License.