Machine Vision Course - Moving Object Detection
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I am currently working on the major assignment for my graduate machine vision course, which focuses on moving object detection. This is a critically important task with applications across various fields such as autonomous vehicles, security surveillance, and robotics technology. In this assignment, I will conduct in-depth study of the principles and methodologies behind moving object detection, including implementation approaches using convolutional neural networks (CNNs) for feature extraction and object recognition, along with object tracking algorithms for maintaining target consistency across frames. The project will involve coding key functions for background modeling, motion segmentation, and temporal consistency checks. I believe this will be a highly meaningful and challenging project that will significantly enhance my understanding of both the technical foundations and practical applications in the machine vision domain.
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