Add Docs glossary links (#16448)

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Co-authored-by: UltralyticsAssistant <web@ultralytics.com>
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@ -8,7 +8,7 @@ keywords: Ultralytics, YOLOv8, distance calculation, computer vision, object tra
## What is Distance Calculation?
Measuring the gap between two objects is known as distance calculation within a specified space. In the case of [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics), the bounding box centroid is employed to calculate the distance for bounding boxes highlighted by the user.
Measuring the gap between two objects is known as distance calculation within a specified space. In the case of [Ultralytics YOLOv8](https://github.com/ultralytics/ultralytics), the [bounding box](https://www.ultralytics.com/glossary/bounding-box) centroid is employed to calculate the distance for bounding boxes highlighted by the user.
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@ -29,7 +29,7 @@ Measuring the gap between two objects is known as distance calculation within a
## Advantages of Distance Calculation?
- **Localization Precision:** Enhances accurate spatial positioning in computer vision tasks.
- **Localization [Precision](https://www.ultralytics.com/glossary/precision):** Enhances accurate spatial positioning in [computer vision](https://www.ultralytics.com/glossary/computer-vision-cv) tasks.
- **Size Estimation:** Allows estimation of object size for better contextual understanding.
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@ -112,7 +112,7 @@ Using distance calculation with Ultralytics YOLOv8 offers several advantages:
### Can I perform distance calculation in real-time video streams with Ultralytics YOLOv8?
Yes, you can perform distance calculation in real-time video streams with Ultralytics YOLOv8. The process involves capturing video frames using OpenCV, running YOLOv8 object detection, and using the `DistanceCalculation` class to calculate distances between objects in successive frames. For a detailed implementation, see the [video stream example](#distance-calculation-using-ultralytics-yolov8).
Yes, you can perform distance calculation in real-time video streams with Ultralytics YOLOv8. The process involves capturing video frames using [OpenCV](https://www.ultralytics.com/glossary/opencv), running YOLOv8 [object detection](https://www.ultralytics.com/glossary/object-detection), and using the `DistanceCalculation` class to calculate distances between objects in successive frames. For a detailed implementation, see the [video stream example](#distance-calculation-using-ultralytics-yolov8).
### How do I delete points drawn during distance calculation using Ultralytics YOLOv8?