Deep SORT

Deep SORT (Deep Simple Online and Real-time Tracking) is an advanced algorithm used for tracking multiple objects, like people or vehicles, in video sequences. It enhances traditional tracking methods by incorporating deep learning techniques to better identify and follow objects over time. Deep SORT uses visual features extracted from a convolutional neural network to distinguish between objects and maintain their identity even when they change appearance or become occluded. This makes it particularly effective in complex scenes, allowing for accurate and reliable tracking in real-world applications like surveillance and autonomous vehicles.