Multiple Object Tracking With Transformer

Multiple Object Tracking with Transformer is a multi-object tracking technique that incorporates the Transformer architecture, aiming to efficiently handle multiple moving objects in video sequences through self-attention mechanisms to achieve accurate trajectory prediction and identity recognition. This method demonstrates high robustness and accuracy in complex scenarios, significantly enhancing the application value of computer vision systems in fields such as surveillance and autonomous driving.