Motion blur caused by the moving of the object or camera during the exposure can be a key challenge for visual object tracking, affecting tracking accuracy significantly. In this work, we explore the robustness of visual object trackers against motion blur from a new angle, i.e., adversarial blur attack (ABA). Our main objective is to online transfer input frames to their natural motion-blurred counterparts while misleading the state-of-the-art trackers during the tracking process. To this end, we first design the motion blur synthesizing method for visual tracking based on the generation principle of motion blur, considering the motion information and the light accumulation process. With this synthetic method, we propose \textit{optimization-based ABA (OP-ABA)} by iteratively optimizing an adversarial objective function against the tracking w.r.t. the motion and light accumulation parameters. The OP-ABA is able to produce natural adversarial examples but the iteration can cause heavy time cost, making it unsuitable for attacking real-time trackers. To alleviate this issue, we further propose \textit{one-step ABA (OS-ABA)} where we design and train a joint adversarial motion and accumulation predictive network (JAMANet) with the guidance of OP-ABA, which is able to efficiently estimate the adversarial motion and accumulation parameters in a one-step way. The experiments on four popular datasets (\eg, OTB100, VOT2018, UAV123, and LaSOT) demonstrate that our methods are able to cause significant accuracy drops on four state-of-the-art trackers with high transferability. Please find the source code at https://github.com/tsingqguo/ABA
翻译:在接触过程中,由物体或相机移动引起的运动模糊不清可能是视觉物体跟踪的一个关键挑战,这极大地影响了跟踪准确性。在这项工作中,我们探索视觉物体跟踪器的稳健性,防止从一个新的角度,即对抗性模糊攻击(ABA)。我们的主要目标是在跟踪过程中将输入框架在线传输到自然运动模糊的对等方,同时误导最先进的对等方。为此,我们首先设计运动模糊的视觉跟踪方法,以产生运动的原则为基准,模糊地合成视觉跟踪方法,考虑到运动信息和光速积累过程。在这种合成方法下,我们建议通过迭接地优化对追踪过程(w.r.t.)运动和光累积参数的对立目标的对立功能。OP-ABA能够产生自然对抗性实例,但是它可能会造成沉重的时间成本,使得它不适合攻击实时跟踪器。为了缓解这一问题,我们进一步提议在OV-BA(OS-BA)轨中的一流-OOO-OTA-A(OVA-A)轨图解四个运动和OVA-O-O-ODA-OD-OD-OD-ODODLODLA-OD-OD-ODLODR)的对四个运动和OVA-OVA-OD-OO-O-OD-O-OD-OD-OD-O-O-OD-OD-OD-OD-OD-OD-OD-OD-OD-ODLLLOD-ODLLODLODLODUTUTUTLLLODRDR)高能进行高的对一个高的对一个高的手路路路路路路路路路路路路路路路路路路路路路的对向向,进行高的对一个高的对4的对地的对地路路路路路路路路和O和O。