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@article{164745,
        author = {Nayan Meshram and Prathamesh Giradkar and Aditya Pandilwar and Akash penliwar and Prof Manisha More},
        title = {BALL TRACKING SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {12},
        pages = {1574-1579},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=164745},
        abstract = {This article introduces a cutting-edge real-time ball tracking system that utilizes the YOLO (You Only Look Once) algorithm and OpenCV in Python. By harnessing the speed and accuracy of YOLO, the system excels in detecting and tracking balls in sports videos with remarkable precision. The model is meticulously trained on a bespoke dataset to guarantee dependable detection across a range of sports scenarios. Through the utilization of OpenCV for video processing tasks, the system's efficiency significantly enhanced. The integration of frame differencing and Kalman filtering further enhances tracking robustness, even in the most challenging conditions. The experimental results showcase the system's efficiency for sports analytics and automated video annotation.},
        keywords = {Ball Tracking, YOLO, Opencv, Python, Real-Time Object Detection, Sports Analytics, Computer Vision},
        month = {},
        }