Detect, Track, and Count Objects Using YOLO V8 and Deep SORT
Applying the Deep SORT Algorithm After detection, the next step is to track objects using the Deep SORT algorithm. Processing a Video for Detection and Tracking I will now demonstrate how to track and count objects in a video dataset. Each frame is processed as follows: Tracking IDs ensure each detected person is counted only once. Displaying the Results Each tracked object is assigned a unique ID and a bounding box. The total number of people in the frame is counted and displayed. The final output dataset contains all detected objects with their assigned tracking IDs. Example Output: Total Person Count: 4 Person 1 → ID: 4 Person 2 → ID: 3 Person 3 → ID: 2 Conclusion In this article, Anurag has demonstrated how to use YOLO V8 and Deep SORT to: This technique is useful for applications like crowd analysis, traffic monitoring, and security surveillance. If any new AI company needs marketing services, contact Global Reputation Guru. Anurag and the team provide marketing solutions worldwide to help AI businesses grow. For inquiries, visit www.globalreputationguru.com or email info@globalreputationguru.com. Let me know if you need any further modifications.
