Object Detection vs Object Tracking
Object detection and object tracking are distinct processes.
Object Detection
Object detection locates objects within an image, achieved through training models on datasets to recognize specific objects. It typically involves drawing bounding boxes or labels around detected objects. This can be applied to both images and videos.
Object Tracking
Object tracking, however, is more intricate, involving following a specific object’s movement across continuous video frames. Tracking algorithms maintain the object’s identity despite changes in appearance or position. Challenges like dynamic video conditions and obstacles are addressed using mathematical and deep learning algorithms to ensure accuracy and effectivenes
Getting Started With Object Tracking Using OpenCV
OpenCV, developed by Intel in the early 2000s, is a popular open-source computer vision library used for real-time tasks. It offers various features like image processing, face detection, object detection, and more. In this article, we explore object-tracking algorithms and how to implement them using OpenCV and Python to track objects in videos.