Second-order motion descriptors for efficient action recognition-Reference-Cited by-同舟云学术

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Second-order motion descriptors for efficient action recognition

Published:2020-10-28 Issue:2 Volume:24 Page:473-482
ISSN:1433-7541
Container-title:Pattern Analysis and Applications
language:en
Short-container-title:Pattern Anal Applic

Author:

Oves García Reinier,Morales Eduardo F.,Sucar L. Enrique

Funder

Consejo Nacional de Ciencia y Tecnología

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition

Link

https://link.springer.com/content/pdf/10.1007/s10044-020-00924-2.pdf

Reference48 articles.

1. García RO, Morales EF, Novel Sucar LE A (2019) Scheme for training two-stream CNNs for action recognition. In: Iberoamerican congress on pattern recognition. Springer, Cham, pp 729–739

2. Ahad MAR, Tan JK, Kim H, Ishikawa S (2012) Motion history image: its variants and applications. Mach Vis Appl 23(2):255–281

3. Herath S, Harandi M, Porikli F (2017) Going deeper into action recognition: a survey. Image Vis Comput 1(60):4–21

4. Nanni L, Stefano G, Sheryl B (2017) Handcrafted vs. non-handcrafted features for computer vision classification. Pattern Recogn 71:158–172

5. Choutas V, Weinzaepfel P, Revaud J, Schmid C (2018) Potion: Pose motion representation for action recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 7024–7033

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