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A 3-dimensional sift descriptor and its application to action recognition
Open accessAbstract
In this paper we introduce a 3-dimensional (3D) SIFT descriptor for video or 3D imagery such as MRI data. We also show how this new descriptor is able to better represent the 3D nature of video data in the application of action recognition. This paper will show how 3D SIFT is able to outperform previously used description methods in an elegant and efficient manner. We use a bag of words approach to represent videos, and present a method to discover relationships between spatio-temporal words in order to better describe the video data.
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Cites
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Tran, D., Bourdev, L., Fergus, R., Torresani, L., & Paluri, M. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.510 · Cited by 9,593
Action Recognition with Improved Trajectories
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Zhang, T., Zheng, W., Cui, Z., Zong, Y., & Li, Y. (2019) · IEEE Transactions on Cybernetics · doi:10.1109/tcyb.2017.2788081 · Cited by 595
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Polikovsky, S., Kameda, Y., & Ohta, Y. (2009) · 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009) · doi:10.1049/ic.2009.0244 · Cited by 312
Slow feature analysis for human action recognition
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Two-Stream 3-D convNet Fusion for Action Recognition in Videos With Arbitrary Size and Length
Wang, X., Gao, L., Wang, P., Sun, X., & Liu, X. (2018) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2017.2749159 · Cited by 263
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Spatio-temporal convolutional features with nested LSTM for facial expression recognition
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DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
Ding, L., & Feng, C. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2019.00885 · Cited by 79
A Multi-scale Approach to Gesture Detection and Recognition
Neverova, N., Wolf, C., Paci, G., Sommavilla, G., Taylor, G. W., & Nebout, F. (2013) · 2013 IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2013.69 · Cited by 52
DTR-HAR: deep temporal residual representation for human activity recognition
Basly, H., Ouarda, W., Sayadi, F. E., Ouni, B., & Alimi, A. M. (2022) · The Visual Computer · doi:10.1007/s00371-021-02064-y · Cited by 36
Deep Learning for Video Classification: A Review
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Metadata
- Authors
- Scovanner, P., Ali, S., & Shah, M.
- Venue
- Proceedings of the 15th ACM international conference on Multimedia
- Publisher
- ACM
- Published
- 2007-09-29
- Pages
- 357-360
- OpenAlex
- W2108333036
- Cited by
- 1,596
- References
- 3
- FWCI
- 29.01
- Type
- conference paper
- Language
- en
- Open access
- green
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