BACKGROUND SUBSTRACTION MOTION TECHNIQUES WITH OPENCV AND TKINTER
About this ebook
The second project RunningGaussianAverage utilizes the running Gaussian average technique for motion detection within a graphical user interface (GUI) built on Tkinter. Upon initialization, it configures a master window and sets up video processing capabilities, including video stream handling, frame analysis, and displaying results on the GUI. The interface includes playback controls, a video display canvas, and a listbox for motion event notifications, allowing interactive management of video analysis. Core functionalities like video loading, playback control, and frame processing leverage the imageio and OpenCV libraries to handle video input and perform real-time image processing tasks such as blurring, grayscale conversion, and motion detection through frame differencing. The application is structured to provide an intuitive platform for users to engage with motion detection technology effectively, showcasing changes directly within the GUI.
The third project introduces a sophisticated application that utilizes the Mixture of Gaussians (MOG) method for motion detection within a user-friendly Tkinter-based GUI. Leveraging OpenCV's cv2.createBackgroundSubtractorMOG2(), the application excels in background modeling and foreground detection, effectively handling various lighting conditions and shadow detection, making it ideal for security and surveillance applications. The GUI is designed to enhance user interaction, featuring video display, playback controls, adjustable detection settings, and dynamic results display through list boxes and scrollbars. It also offers advanced filtering options like Gaussian and median blurs, along with more complex filters such as wavelet transforms and anisotropic diffusion, all adjustable via the GUI. This setup allows for real-time frame processing, detection visualization, and interactive exploration, making it a potent tool for educational purposes, professional security setups, and enthusiasts in video processing technology.
The fourth project develops a sophisticated motion detection system using Kernel Density Estimation (KDE), integrated into a Tkinter-based graphical interface, simplifying the advanced image processing for users without deep technical expertise. Central to this application is the use of OpenCV's MOG2 background subtractor which excels in differentiating foreground activity from the background, especially in varied lighting and shadow conditions, thus enhancing robustness in diverse environments. The GUI is intuitively designed, featuring video playback controls and real-time video frame rendering along with a motion density map that accumulates and visualizes movement patterns over time. The application processes video frames by applying Gaussian blurring to reduce noise and then uses the MOG2 model to create a foreground mask, refined further to delineate motion clearly. This setup allows for precise contour detection to identify and mark moving objects, providing detailed motion event analysis directly on the interface. This project effectively marries complex image processing capabilities with a user-friendly interface, making sophisticated motion detection technology accessible for surveillance, research, and broader applications.
The fifth project develops an advanced motion detection system using the K-Nearest Neighbors (KNN) algorithm for effective background subtraction, all within a user-friendly Tkinter-based graphical interface, ideal for surveillance and monitoring applications. The KNN background subtractor stands out for its dynamic adaptation, enhancing detection accuracy under varying lighting conditions while minimizing false positives from environmental changes. Users interact through a thoughtfully designed GUI, featuring real-time video playback, motion event logs, and intuitive controls like play, pause, and frame navigation. Additionally, the system includes various filters such as Gaussian blur and wavelet transforms to optimize detection quality. Detected motions are highlighted with bounding boxes and detailed in a sidebar, simplifying the tracking process. Advanced features like zoom and area-specific analysis further augment the tool's utility, making it versatile for applications ranging from security surveillance to traffic monitoring, all the while maintaining ease of use and robust analytical capabilities.
The sixth project, "Median Filtering with Filtering", develops a sophisticated motion detection application using Python, integrating Tkinter for the GUI, OpenCV for image processing, and ImageIO for video management. This application utilizes median filtering to effectively reduce noise in video frames, enhancing motion detection capabilities for security surveillance, wildlife monitoring, and other applications requiring movement tracking. The GUI is intuitively designed with video playback controls, adjustable motion detection sensitivity, and a log of detected movements, making it highly interactive and user-friendly. Users can also apply various filters like Gaussian and bilateral smoothing to improve image quality under different conditions. The application is built with expandability in mind, allowing for easy integration of additional filters, enhanced algorithms, or more sophisticated functionalities to meet specific user needs or to be incorporated into larger systems.
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About the author
Vivian Siahaan is a highly motivated individual with a passion for continuous learning and exploring new areas. Born and raised in Hinalang Bagasan, Balige, situated on the picturesque banks of Lake Toba, she completed her high school education at SMAN 1 Balige. Vivian's journey into the world of programming began with a deep dive into various languages such as Java, Android, JavaScript, CSS, C++, Python, R, Visual Basic, Visual C#, MATLAB, Mathematica, PHP, JSP, MySQL, SQL Server, Oracle, Access, and more. Starting from scratch, Vivian diligently studied programming, focusing on mastering the fundamental syntax and logic. She honed her skills by creating practical GUI applications, gradually building her expertise. One particular area of interest for Vivian is animation and game development, where she aspires to make significant contributions. Alongside her programming and mathematical pursuits, she also finds joy in indulging in novels, nurturing her love for literature. Vivian Siahaan's passion for programming and her extensive knowledge are reflected in the numerous ebooks she has authored. Her works, published by Sparta Publisher, cover a wide range of topics, including "Data Structure with Java," "Java Programming: Cookbook," "C++ Programming: Cookbook," "C Programming For High Schools/Vocational Schools and Students," "Java Programming for SMA/SMK," "Java Tutorial: GUI, Graphics and Animation," "Visual Basic Programming: From A to Z," "Java Programming for Animation and Games," "C# Programming for SMA/SMK and Students," "MATLAB For Students and Researchers," "Graphics in JavaScript: Quick Learning Series," "JavaScript Image Processing Methods: From A to Z," "Java GUI Case Study: AWT & Swing," "Basic CSS and JavaScript," "PHP/MySQL Programming: Cookbook," "Visual Basic: Cookbook," "C++ Programming for High Schools/Vocational Schools and Students," "Concepts and Practices of C++," "PHP/MySQL For Students," "C# Programming: From A to Z," "Visual Basic for SMA/SMK and Students," and "C# .NET and SQL Server for High School/Vocational School and Students." Furthermore, at the ANDI Yogyakarta publisher, Vivian Siahaan has contributed to several notable books, including "Python Programming Theory and Practice," "Python GUI Programming," "Python GUI and Database," "Build From Zero School Database Management System In Python/MySQL," "Database Management System in Python/MySQL," "Python/MySQL For Management Systems of Criminal Track Record Database," "Java/MySQL For Management Systems of Criminal Track Records Database," "Database and Cryptography Using Java/MySQL," and "Build From Zero School Database Management System With Java/MySQL." Vivian's diverse range of expertise in programming languages, combined with her passion for exploring new horizons, makes her a dynamic and versatile individual in the field of technology. Her dedication to learning, coupled with her strong analytical and problem-solving skills, positions her as a valuable asset in any programming endeavor. Vivian Siahaan's contributions to the world of programming and literature continue to inspire and empower aspiring programmers and readers alike.
Rismon Hasiholan Sianipar, born in Pematang Siantar in 1994, is a distinguished researcher and expert in the field of electrical engineering. After completing his education at SMAN 3 Pematang Siantar, Rismon ventured to the city of Jogjakarta to pursue his academic journey. He obtained his Bachelor of Engineering (S.T) and Master of Engineering (M.T) degrees in Electrical Engineering from Gadjah Mada University in 1998 and 2001, respectively, under the guidance of esteemed professors, Dr. Adhi Soesanto and Dr. Thomas Sri Widodo. During his studies, Rismon focused on researching non-stationary signals and their energy analysis using time-frequency maps. He explored the dynamic nature of signal energy distribution on time-frequency maps and developed innovative techniques using discrete wavelet transformations to design non-linear filters for data pattern analysis. His research showcased the application of these techniques in various fields. In recognition of his academic prowess, Rismon was awarded the prestigious Monbukagakusho scholarship by the Japanese Government in 2003. He went on to pursue his Master of Engineering (M.Eng) and Doctor of Engineering (Dr.Eng) degrees at Yamaguchi University, supervised by Prof. Dr. Hidetoshi Miike. Rismon's master's and doctoral theses revolved around combining the SR-FHN (Stochastic Resonance Fitzhugh-Nagumo) filter strength with the cryptosystem ECC (elliptic curve cryptography) 4096-bit. This innovative approach effectively suppressed noise in digital images and videos while ensuring their authenticity. Rismon's research findings have been published in renowned international scientific journals, and his patents have been officially registered in Japan. Notably, one of his patents, with registration number 2008-009549, gained recognition. He actively collaborates with several universities and research institutions in Japan, specializing in cryptography, cryptanalysis, and digital forensics, particularly in the areas of audio, image, and video analysis. With a passion for knowledge sharing, Rismon has authored numerous national and international scientific articles and authored several national books. He has also actively participated in workshops related to cryptography, cryptanalysis, digital watermarking, and digital forensics. During these workshops, Rismon has assisted Prof. Hidetoshi Miike in developing applications related to digital image and video processing, steganography, cryptography, watermarking, and more, which serve as valuable training materials. Rismon's field of interest encompasses multimedia security, signal processing, digital image and video analysis, cryptography, digital communication, digital forensics, and data compression. He continues to advance his research by developing applications using programming languages such as Python, MATLAB, C++, C, VB.NET, C#.NET, R, and Java. These applications serve both research and commercial purposes, further contributing to the advancement of signal and image analysis. Rismon Hasiholan Sianipar is a dedicated researcher and expert in the field of electrical engineering, particularly in the areas of signal processing, cryptography, and digital forensics. His academic achievements, patented inventions, and extensive publications demonstrate his commitment to advancing knowledge in these fields. Rismon's contributions to academia and his collaborations with prestigious institutions in Japan have solidified his position as a respected figure in the scientific community. Through his ongoing research and development of innovative applications, Rismon continues to make significant contributions to the field of electrical engineering.
