MeMOT: Multi-Object Tracking with Memory 是一种基于记忆的多目标跟踪方法,该方法通过保留一个大的时空存储器来存储跟踪对象的身份特征向量(Embedding),并根据需要自适应地引用和聚合存储器中的有用信息,实现长时间跨度的目标跟踪。以下是对该方法的详细解释: 1. 什么是Multi-Object Tracking(多目标跟踪)? 多目标...
没找到代码
MULTI OBJECT TRACKING USING MEMORY ATTENTIONMethods, systems, and apparatus, including computer programs encoded on computer storage media, for multi object tracking using memory attention.Wei-Chih HungHenrik KretzschmarYuning ChaiDragomir Anguelov
Cai, J., Xu, M., Li, W., Xiong, Y., Xia, W., Tu, Z., Soatto, S.: Memot: Multi-object tracking with memory. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 8090–8100 (2022) Meinhardt, T., Kirillov, A., Leal-Taixe, L., Feicht...
Memot: Multi-object tracking with memory. In CVPR. IEEE, 2022. 2, 7 [11] Jinkun Cao, Xinshuo Weng, Rawal Khirodkar, Jiangmiao Pang, and Kris Kitani. Observation-centric SORT: re- thinking SORT for robust multi-object tracking. CoRR, abs/2203.14360, 2022. 1, 6, 7, 8 [12] Hsu...
Cai, J., et al.: Memot: multi-object tracking with memory. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). New Orleans, USA, pp. 8080–8090 (2022). https://doi.org/10.1109/CVPR52688.2022.00792 Wang, H., et al.: Sture: spatial–temporal...
Memot: multi-object tracking with memory. In CVPR, 2022. [6] Jinkun Cao, Jiangmiao Pang, Xinshuo Weng, Rawal Khirod- kar, and Kris M Kitani. Object tracking by hierarchical part- whole attention. [7] Jinkun Cao, Hongyang Tang, Hao-Shu Fang, Xiaoyong She...
近年来, tracking-by-detection已成为MOT中最流行的范式,它将问题分为两个子任务。第一个任务是检测每帧中的目标。第二个任务是从不同帧中将它们关联起来。关联任务主要通过显式或隐式利用强线索来解决,这些强线索包括空间和外观信息。这种设计是合理的,因为这些强线索为每个目标提供了强大的实例级判别(即全局判别...
In this example you have learned how to implement the DeepSORT object tracking algorithm. This is an example of attribute fusion by using deep appearance features for the assignment. The appearance attribute is updated using a simple memory buffer. You also have learned how to integrate a Re-Id...
In this paper, we propose MeMOTR, a long-term memory-augmented Transformer for multi-object tracking. Our method is able to make the same object's track embedding more stable and distinguishable by leveraging long-term memory injection with a customized memory-attention layer. This significantly ...