Building Real-Time Object Detection and Tracking Applications with YOLOv8 and Streamlit: Part 3: Adding Tracking Algorithms

introduce

Object tracking is the process of identifying a specific object or objects in a series of frames over time. It involves locating the position of an object in each frame and tracking its movement across frames. Object tracking has a wide range of applications in various fields, including surveillance, robotics, autonomous driving, motion analysis, and more.

Tracking algorithms use various techniques such as color histograms, motion analysis, deep learning, etc. to locate and track objects in a video or image sequence. As the use of object detection and tracking continues to increase across industries, the need for accurate, real-time tracking algorithms is more important than ever.

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Origin blog.csdn.net/tianqiquan/article/details/131745292