推荐 多目标跟踪最新的文献
时间: 2023-03-21 11:01:11 浏览: 119
多目标跟踪是指在视频中同时追踪多个目标的过程。最新的多目标跟踪文献包括:
1. "Multiple Object Tracking: A Literature Review"(多目标跟踪:文献综述)是一篇综述性文章,介绍了多目标跟踪的常用方法和技术,以及未来的研究方向。
2. "Simple Online and Realtime Tracking with a Deep Association Metric"(使用深度关联度量的简单在线实时跟踪)提出了一种基于深度学习的多目标跟踪方法,能够快速准确地跟踪目标。
3. "Tracking Without Bells and Whistles"(简洁高效的跟踪方法)是一篇简单有效的多目标跟踪方法,采用了轻量化网络和简化的跟踪算法,取得了较好的效果。
4. "Tracking-by-Detection Without Detectors"(不需要检测器的检测跟踪方法)提出了一种基于无监督学习的多目标跟踪方法,不需要使用目标检测器,能够在各种场景下进行跟踪。
以上是一些比较新的多目标跟踪文献,可以供您参考。
相关问题
BACF目标跟踪算法的英文文献推荐
1. "BACF: Binary Augmented Convolutional Features for Visual Tracking" by Bohyung Han and Jongwoo Lim, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018.
2. "Learning Binary Codes for Fast Target Tracking" by Yancheng Bai, Ming-Ming Cheng, Wei Liu, and Jiangbo Lu, IEEE Conference on Computer Vision and Pattern Recognition, 2017.
3. "A Discriminative Deep Model for Target Tracking" by Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, and Simon Lucey, IEEE Conference on Computer Vision and Pattern Recognition, 2017.
4. "Tracking the Untrackable: Learning to Track Multiple Cues with Long-Term Dependencies" by Mengmi Zhang, Yizhou Wang, and Qi Zhao, IEEE Conference on Computer Vision and Pattern Recognition, 2019.
5. "Visual Tracking with Fully Convolutional Networks" by Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, and Philip H.S. Torr, IEEE International Conference on Computer Vision, 2017.
LMCF目标跟踪算法的英文文献
以下是LMCF目标跟踪算法的英文文献:
1. "Learning Multi-Channel Correlation Filters for Visual Tracking" by Hamed Kiani Galoogahi, Ashton Fagg, and Simon Lucey, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
2. "Visual Tracking via Multi-Channel Correlation Filters" by Hamed Kiani Galoogahi, Ashton Fagg, and Simon Lucey, in IEEE Transactions on Image Processing, vol. 27, no. 10, pp. 5059-5070, 2018.
3. "Learning Multi-Channel Correlation Filters for Object Tracking" by Hamed Kiani Galoogahi, Ashton Fagg, and Simon Lucey, in Proceedings of the British Machine Vision Conference (BMVC), 2016.
4. "A Unified Framework for Multi-Channel Correlation Filters" by Hamed Kiani Galoogahi, Ashton Fagg, and Simon Lucey, in Proceedings of the European Conference on Computer Vision (ECCV), 2016.
5. "SC-CF: Spatially-Constrained Correlation Filters for Visual Tracking" by Hamed Kiani Galoogahi, Ashton Fagg, and Simon Lucey, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.