Algorithm for object tracking

1. Can Yolo be used for object tracking?
2. How is object tracking done?
3. How do tracking algorithms work?
4. What are the algorithms used in object tracking?

Can Yolo be used for object tracking?

YOLOv4 — Optimal Speed and Accuracy of Object Detection

This version of YOLO has an Optimal Speed and Accuracy of Object Detection compared to all the previous versions and other state-of-the-art object detectors. The image below shows the YOLOv4 outperforming YOLOv3 and FPS in speed by 10% and 12% respectively.

How is object tracking done?

Object tracking is an application of deep learning where the program takes an initial set of object detections and develops a unique identification for each of the initial detections and then tracks the detected objects as they move around frames in a video.

How do tracking algorithms work?

A track algorithm is a radar and sonar performance enhancement strategy. Tracking algorithms provide the ability to predict future position of multiple moving objects based on the history of the individual positions being reported by sensor systems.

What are the algorithms used in object tracking?

Some of the common algorithms used for tracking objects are Fast R-CNN and Faster R-CNN and their variants. These networks have been proven very efficient in the task of object tracking.