Combined Particle Filter and Its Application on Human Pose Estimation
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-3623-2_23
Reference32 articles.
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3. Deng, X., Mousavian, A., Xiang, Y., et al.: PoseRBPF: a rao-blackwellized particle filter for 6-D object pose tracking. IEEE Trans. Rob. 37(5), 1328–1342 (2021)
4. Zhao, M., Jha, A., Liu, Q., et al.: Faster mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. Med. Image Anal. 71, 102048 (2021)
5. Nam, H., Han, B.: Learning multi-domain convolutional neural networks for visual tracking. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 4293–4302 (2016)
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