DeepSORT

DeepSORT (Deep Simple Online and Realtime Tracking) is a computer vision algorithm that helps computers follow multiple moving objects, like people or cars, across video frames. It combines two key ideas: first, it uses a deep learning model to recognize and distinguish individual objects based on their appearance; second, it employs a tracking technique to predict and match these objects frame-to-frame, ensuring consistent identities. This method allows for accurate, real-time tracking even in crowded or complex scenes, making it useful for surveillance, traffic monitoring, and various AI applications requiring reliable object tracking.