Discover how object tracking enables real-time classification in video streams and its importance in passing the AI-900 Azure AI Fundamentals certification.
Table of Contents
Question
In computer vision, which technique involves training a model to recognize and classify objects in real-time video streams?
A. Image segmentation
B. Biometric identification
C. Object tracking
D. Facial recognition
Answer
C. Object tracking
Explanation
Object tracking is the process of locating and following objects in consecutive frames of a video stream. It specifically addresses the real-time tracking and monitoring of objects as they move within a video stream. It is crucial for applications where the continuous position of objects needs to be determined.
Image segmentation involves dividing an image into segments based on certain characteristics. It is used to identify and delineate different structures within an image but does not necessarily involve the real-time classification of objects.
Facial recognition focuses on recognizing and identifying faces in images or videos. It specifically deals with detecting and classifying faces rather than a broader range of objects.
Biometric identification is focused on recognizing individuals based on specific traits and is not directly related to real-time object classification.
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