Leveraging temporal-aware fine-grained features for robust multiple object tracking

Author:

Wu Han,Nie Jiahao,Zhu Ziming,He ZhiweiORCID,Gao Mingyu

Funder

National Natural Science Foundation of China

Key R &D Program of Zhejiang Province

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Reference68 articles.

1. He Y, Wei X, Hong X, Ke W, Gong Y (2022) Identity-quantity harmonic multi-object tracking. IEEE Trans Image Process 31:2201–2215

2. Gao T, Pan H, Wang Z, Gao H (2022) A CRF-based framework for tracklet inactivation in online multi-object tracking. IEEE Trans Multimed 24:995–1007

3. Li X, Xie Z, Deng X, Wu Y, Pi Y (2022) Traffic sign detection based on improved faster R-CNN for autonomous driving. J Supercomput 78:7982–8002

4. Ren S, He K, Girshick R, Sun J (2015) Faster R-CNN: towards real-time object detection with region proposal networks. In: Proceedings of the Advances in Neural Information Processing Systems (NIPS)

5. Joseph R, Ali F (2018) YOLOv3: an incremental improvement. Preprint at http://arxiv.org/abs/1804.02767

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