Real Time Object Tracking using image processing [closed]

1. What is object tracking in image processing?
2. Which method is used for tracking the moving objects in image processing?
3. What is real time object tracking?
4. Which is best for real time object detection?

What is object tracking in image processing?

Object tracking refers to the ability to estimate or predict the position of a target object in each consecutive frame in a video once the initial position of the target object is defined. On the other hand, object detection is the process of detecting a target object in an image or a single frame of the video.

Which method is used for tracking the moving objects in image processing?

Moving object detection is a technique used in computer vision and image processing. Multiple consecutive frames from a video are compared by various methods to determine if any moving object is detected.

What is real time object tracking?

Real time object tracking is the process of locating moving objects over time using the camera in video sequences in real time. The objective of object tracking is to associate target objects in consecutive video frames. Object tracking requires location and shape or features of objects in the video frames.

Which is best for real time object detection?

The most popular one-stage detectors include the YOLO, SSD, and RetinaNet. The latest real-time detectors are YOLOv7 (2022), YOLOR (2021) and YOLOv4-Scaled (2020).