Hello trend,
This is Satya Mallick from LearnOpenCV.com.
This week we present you a complete guide to modern Object Tracking. Object Tracking is a very important problem in Computer Vision. It has vast applications in Surveillance, Traffic Monitoring, Healthcare, Manufacturing and more..
Object Detection vs Object Tracking
Object Detection and Tracking are often confused to be the same, although there is a subtle difference. In case of Object Detection, we predict the position of the target object for each frame in a video/sequence whereas in Object Tracking, we predict the position in subsequent frames without detecting the object explicitly.
Understanding Multiple Object Tracking using DeepSORT
We will explain one of the techniques for Object Tracking called DeepSORT in today's blog post. It is based on the famous Kalman Filter technique. We will explain the following in the blog post:
- Introduction to Object Tracking.
- Need and Applications of Object Trackers.
- Single Object Tracking vs Multiple Object Tracking (MOT).
- Single Online Real-time Tracker (SORT).
- Understanding DeepSORT.
- Integrating DeepSORT Object Tracking with YOLOv5 Object Detection.
- MOT Challenge and Performance Metrics like MOTP and MOTA.
In case you missed it, check out our comprehensive guide on Custom Object Detection using YOLOv5.
Without further ado, let's get started.
| Multiple Object Tracking using DeepSORT |
You can check out the code by clicking on the button below, and star us on GitHub to say thanks!
| Download Code (GitHub) |
Cheers!
Satya
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