Conditional GAN based individual and global motion fusion for multiple object tracking in UAV videos

•We propose a Siamese Network for estimating global motion information, which is very helpful for MOT in UAV videos.•We propose a conditional Generative Adversarial Networks (GAN) to generate final motion prediction.•We carry out experiments on the public UAV datasets for demonstrating the effectiveness of our proposed method.