Introduction

Tracking the distance and angle of an object has many practical uses, especially in robotics. This tutorial explains how to get an accurate distance and angle measurement, even when the target is at a strong angle from the camera.

Before we start

Download the demo here!

How to accurately track distance at any angle

Building off this article, we know that we can approximate the distance as long as we have the width of the target in pixels and cm/inches at a known distance.

focal length_ = (known pixel Width * knownDistance) / known width_

Distance (cm/inches/etc.)_ =( known Width * focal length) / pixel Width_

When using width to approximate distance, the width gets smaller at an angle, decreasing the accuracy.

Instead, fitted height should be used to calculate distance, because the fitted height will always stay the same, no matter what angle.

Therefore, to calculate distance using fitted height, use these equations:

focal length_ = (known pixel Height * knownDistance) / known height_

Distance (cm/inches/etc.)_ = (known height * focal length) / pixel height_

This approximation works as long as the height of the target stays the same. Also remember to use fitted height instead of bounding height because fitted height tilts with the object and bounding height does not.

#object-detection #opencv #computer-vision #python #computer-science

Track Distance and Angle of an Object Using Computer Vision
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