Uniform Evaluation of Properties in Activity Recognition-Reference-Cited by-同舟云学术

Uniform Evaluation of Properties in Activity Recognition

Published:2022 Issue: Volume: Page:83-95
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
Short-container-title:

Author:

Modaresi Seyed M. R.^ORCID,Osmani Aomar^ORCID,Razzazi Mohammadreza^ORCID,Chibani Abdelghani^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-05936-0_7

Reference27 articles.

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2. Asghari, P., Soleimani, E., Nazerfard, E.: Online human activity recognition employing hierarchical hidden Markov models. J. Ambient. Intell. Humaniz. Comput. 11(3), 1141–1152 (2020). https://doi.org/10.1007/s12652-019-01380-5

3. Awad, G., et al.: TRECVID 2020: a comprehensive campaign for evaluating video retrieval tasks across multiple application domains. In: Proceedings of TRECVID, pp. 1–55. NIST, USA (2021)

4. Bilen, C., Ferroni, G., Tuveri, F., Azcarreta, J., Krstulovic, S.: A framework for the robust evaluation of sound event detection. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 61–65 (2020). https://doi.org/10.1109/ICASSP40776.2020.9052995

5. Cook, D.J., Narayanan, C.K.: Activity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data. Wiley Series on Parallel and Distributed Computing, 1st edn. Wiley (2015)

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