Paper Title
Fast Moving Object Detection Using Trajectory based Estimation
Article Identifiers
Authors
Chandana N , Ashwas Ajay , Bhargav Urs S , Deeksha H T , Dr. Nandini N
Keywords
YOLOv8, Deep Learning, Tiny Object Detection, Cricket Ball Tracking, Sports AI, Trajectory Estimation
Abstract
The goal of this research is to create a reliable trajectory-based estimating system for fast-moving object detection. Utilizing the YOLOv8 model to find, track, and estimate the trajectory of a cricket ball in low-resolution MP4 footage taken with a smartphone is the specific goal. The output consists of a reconstructed MP4 movie that follows the ball precisely and shows its trajectory path as a series of dots in each frame. The dataset utilized is made up of 18,000 1920x1080 resolution frames. Each frame is annotated by utilizing the "makesense.ai" website to build a bounding box around the cricket ball and name it as a "ball". The YOLOv8 model has a mean average precision (mAP) of 99.1%, precision of 98.5%, and recall of 96.9% after being trained for 114 epochs with a batch size of 16. Additionally, a user-friendly interface makes it simple for users to choose and upload movies for prediction. With a focus on determining the trajectory of cricket balls, this study seeks to offer an efficient method for the precise identification and tracking of swiftly moving objects.
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How To Cite (APA)
Chandana N, Ashwas Ajay, Bhargav Urs S, Deeksha H T, & Dr. Nandini N (June-2023). Fast Moving Object Detection Using Trajectory based Estimation. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(6), g130-g137. https://ijnrd.org/papers/IJNRD2306615.pdf
Issue
Volume 8 Issue 6, June-2023
Pages : g130-g137
Other Publication Details
Paper Reg. ID: IJNRD_200582
Published Paper Id: IJNRD2306615
Downloads: 000121986
Research Area: Engineering
Country: Bengaluru, Karnataka, India
Published Paper PDF: https://ijnrd.org/papers/IJNRD2306615.pdf
Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2306615
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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)
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This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition
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