Understanding Multiple Object Tracking using DeepSORT
Understanding Multiple Object Tracking using DeepSORT
“Surveillance cameras plays an essential role in securing our home or business. These cameras are super affordable. So is setting up a surveillance system. The only difficult and expensive part is the monitoring. For real time monitoring, usually a security personnel or a team has to be assigned. It is simply not feasible for all.
But with the power of Computer Vision and AI, we can build something that is not only cheaper but also more reliable. There are various CV problems in a surveillance system, and Object Tracking is one of them.
Object tracking is a method of tracking detected objects throughout frames using their spatial and temporal features. In this blog post, we will be implementing one of the most popular tracking algorithms DeepSORT along with YOLOv5 and testing it on the MOT17 dataset using MOTA and other metrics…”
Source: learnopencv.com/understanding-multiple-object-tracking-using-deepsort/