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Research Paper | Electronics Telecommunication Engineering | Volume 11 Issue 6, June 2022 | Pages: 1130 - 1131 | India
Real-Time Vision-Based Moving Object Detection and Tracking
Abstract: In applications involving surveillance cameras, action recognition, and automotive safety, moving object detection and tracking is commonly a major element. The primary goal of the project is to detect and track the faces of moving objects and people using a static integrated camera capable of detecting the facial attributes of the discovered faces. We describe a comprehensive system for detecting and tracking moving objects that would be centered on a vision system using an image difference algorithm and the feature tracker Kanade Lucas Tomasi. Our project focuses on identifying and locating a person's movements as long as they remain within the recording plan. To accomplish this, the image difference algorithm in MATLAB / Simulink software is being used, and the KLT algorithm is being used to extract features. Our project describes an algorithm to detect the facial features of multiple faces in a given frame. It also keeps the track of the face even when the person tilts his/her head, or moves towards or away from the camera.
Keywords: Vision System, Moving Object Detection and Tracking, Image Difference Algorithm, KLT Algorithm
How to Cite?: Shreya Gupta, Simran Khanna, Tanya Moghe, "Real-Time Vision-Based Moving Object Detection and Tracking", Volume 11 Issue 6, June 2022, International Journal of Science and Research (IJSR), Pages: 1130-1131, https://www.ijsr.net/getabstract.php?paperid=SR22618020314, DOI: https://dx.doi.org/10.21275/SR22618020314