Vision-Based Human Activity Recognition Methods Using Pose Estimation
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3592-5_11
Reference35 articles.
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2. Boualia, S.N., Essoukri Ben Amara, N.: Pose-based human activity recognition: a review. In: 2019 15th International Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1468–1475 (2019). https://doi.org/10.1109/IWCMC.2019.8766694
3. Cao, Z., Hidalgo, G., Simon, T., Wei, S.E., Sheikh, Y.: Openpose: Realtime multi-person 2D pose esstimation using part affinity fields. IEEE Trans. Pattern Anal. Mach. Intell. 43(1), 172–186 (2021). https://doi.org/10.1109/TPAMI.2019.2929257
4. Carreira, J., Agrawal, P., Fragkiadaki, K., Malik, J.: Human pose estimation with iterative error feedback. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4733–4742. Curran Associates, Inc., New York, NY, USA (2016). https://doi.org/10.1109/CVPR.2016.512
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