Example of OpenCV mean-shift tracking
Mean Shift is a commonly used target tracking algorithm, which can automatically track the position of the target in the image. OpenCV is a widely used computer vision library that provides many powerful image processing and analysis tools. This article will introduce how to use OpenCV to implement mean shift tracking, and provide the corresponding source code.
First, we need to install the OpenCV library. OpenCV can be installed in a Python environment using the pip command:
pip install opencv-python
After the installation is complete, we can start writing code. First, import the necessary libraries:
import cv2
import numpy as np
Next, we need to load the video or live image captured by the camera. Here we use a video file as input:
video_path = 'path_to_video_file.mp4'
cap = cv2.VideoCapture(video_path)
then