Stereo3DMOT: Stereo Vision Based 3D Multi-object Tracking with Multimodal ReID
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8555-5_39
Reference33 articles.
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2. Sun, J., et al.: DISP R-CNN: stereo 3d object detection via shape prior guided instance disparity estimation. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 10548–10557 (2020)
3. Li, P., Chen, X., Shen, S.: Stereo R-CNN based 3d object detection for autonomous driving. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 7644–7652 (2019)
4. Weng, X., Wang, J., Held, D., Kitani, K.: Ab3dmot: a baseline for 3d multi-object tracking and new evaluation metrics. arXiv preprint arXiv:2008.08063 (2020)
5. Pang, Z., Li, Z., Wang, N.: SimpleTrack: understanding and rethinking 3D multi-object tracking. In: Karlinsky, L., Michaeli, T., Nishino, K. (eds.) Computer - ECCV 2022 Workshops. ECCV 2022, Part I, LNCS, vol. 13801, pp. 680–696. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-25056-9_43
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