Related Concepts
Definition
Recognizing human actions from previously seen viewpoints is relatively easy when compared with unseen viewpoints. View-invariant action recognition aims at recognizing human actions from unseen viewpoints.
Background
Human action recognition is an important problem in computer vision. It has a wide range of applications in surveillance, human-computer interaction, augmented reality, video indexing, and retrieval. The varying pattern of spatiotemporal appearance generated by human action is key for identifying the performed action. We have seen a lot of research exploring this dynamics of spatiotemporal appearance for learning a visual representation of human actions. However, most of the research in action recognition is focused on some common viewpoints [1], and these approaches do not...
References
Duarte K, Rawat Y, Shah M (2018) Videocapsulenet: a simplified network for action detection. In: Advances in neural information processing systems, pp 7610–7619
Vyas S, Rawat YS, Shah M (2018) Time-aware and view-aware video rendering for unsupervised representation learning. arXiv preprint arXiv:1811.10699
Shahroudy A, Liu J, Ng T-T, Wang G (2016) NTU RGB+D: a large scale dataset for 3D human activity analysis. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1010–1019
Rao C, Yilmaz A, Shah M (2002) View-invariant representation and recognition of actions. Int J Comput Vis 50(2):203–226
Rao C, Gritai A, Shah M, Syeda-Mahmood T (2003) View-invariant alignment and matching of video sequences. In: Proceedings of the ninth IEEE international conference on computer vision
Rao C, Shah M, Syeda-Mahmood T (2003) Invariance in motion analysis of videos. In: Proceedings of the eleventh ACM international conference on multimedia. ACM, pp 518–527
Gritai A, Sheikh Y, Shah M (2004) On the use of anthropometry in the invariant analysis of human actions. In: Proceedings of the 17th international conference on pattern recognition, ICPR 2004, vol 2. IEEE, pp 923–926
Sheikh Y, Sheikh M, Shah M (2005) Exploring the space of a human action. In: Proceedings of the tenth IEEE international conference on computer vision (ICCV’05), vol 1. IEEE, pp 144–149
Parameswaran V, Chellappa R (2006) View invariance for human action recognition. Int J Comput Vis 66(1):83–101
Yilmaz A, Shah M (2005) Actions sketch: a novel action representation. In: Proceedings of the 2005 IEEE computer society conference on computer vision and pattern recognition (CVPR’05), vol 1. IEEE Computer Society, pp 984–989
Yan P, Khan SM, Shah M (2008) Learning 4D action feature models for arbitrary view action recognition. In: Proceedings of the 2008 IEEE conference on computer vision and pattern recognition. IEEE
Weinland D, Ronfard R, Boyer E (2006) Free viewpoint action recognition using motion history volumes. Comput Vis Image Underst 104(2–3):249–257
Rahmani H, Mahmood A, Huynh D, Mian A (2016) Histogram of oriented principal components for cross-view action recognition. IEEE Trans Pattern Anal Mach Intell 38(12):2430–2443
Wang J, Nie X, Xia Y, Wu Y, Zhu S-C (2014) Cross-view action modeling, learning and recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 2649–2656
Liu J, Shah M, Kuipers B, Savarese S (2011) Cross-view action recognition via view knowledge transfer. In: Proceedings of the 2011 IEEE conference on computer vision and pattern recognition. IEEE Computer Society, pp 3209–3216
Rahmani H, Mian A, Shah M (2018) Learning a deep model for human action recognition from novel viewpoints. IEEE Trans Pattern Anal Mach Intell 40(3):667–681
Li J, Wong Y, Zhao Q, Kankanhalli M (2018) Unsupervised learning of view-invariant action representations. In: Advances in neural information processing systems, pp 1254–1264
Shahroudy A, Ng T-T, Gong Y, Wang G (2018) Deep multimodal feature analysis for action recognition in RGB+D videos. IEEE Trans Pattern Anal Mach Intell 40(5):1045–1058
Author information
Authors and Affiliations
Corresponding author
Section Editor information
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this entry
Cite this entry
Rawat, Y.S., Vyas, S. (2020). View-Invariant Action Recognition. In: Computer Vision. Springer, Cham. https://doi.org/10.1007/978-3-030-03243-2_878-1
Download citation
DOI: https://doi.org/10.1007/978-3-030-03243-2_878-1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-03243-2
Online ISBN: 978-3-030-03243-2
eBook Packages: Springer Reference Computer SciencesReference Module Computer Science and Engineering