Optical flow using spatiotemporal filters
Integrity signals
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Spatiotemporal Gabor filters have been used in several models of the response of motion selective neurons in the visual cortex.
“Spatiotemporal Gabor filters have been used in several models of the response of motion selective neurons in the visual cortex [57], [59], [39].”
From Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos (2010) · cites this paper as [57]
Using a single scale of filters was not sufficient because optical flow was not computed in fast moving regions of several video sequences due to temporal aliasing.
“We found that using a single scale of filters was not sufficient, since optical flow was not computed in fast moving regions of the several video sequences due to temporal aliasing [60], [57].”
From Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos (2010) · cites this paper as [57]
It is important not to combine estimates across scales due to temporal aliasing.
“It is important not to combine estimates across scales due to temporal aliasing [57], [60].”
From Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos (2010) · cites this paper as [57]
Responses of several spatio-temporally separable responses can be combined to encode the local speed and direction of motion of the video sequence.
“Further, the responses of several spatio-temporally separable responses can be combined to encode the local speed and direction of motion of the video sequence [57], [58].”
From Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos (2010) · cites this paper as [57]
Translational motion has an easily accessible representation in the frequency domain.
“Translational motion has an easily accessible representation in the frequency domain and these ideas have been used to build motion estimation algorithms for video [8], [57], [58].”
From Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos (2010) · cites this paper as [57]
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- Authors
- Heeger, D. J.
- Affiliations
- MIT Media Lab (US)
- Corresponding author
- Heeger, David J.
- ORCID
- Heeger, David J.
- Venue
- International Journal of Computer Vision
- Published
- 1988-01
- Volume
- 1
- Issue
- 4
- Pages
- 279-302
- ISSN
- 0920-5691 (ISSN-L)
- 1573-1405
- OpenAlex
- W2001367356
- Cited by
- 534
- References
- 35
- Citations by year
- 2025: 6 · 2024: 6 · 2023: 6 · 2022: 5 · 2021: 6 · 2020: 7 · 2019: 8 · 2018: 13 · 2017: 10 · 2016: 5 · 2015: 9 · 2014: 14 · 2013: 12 · 2012: 19
- FWCI
- 25.92
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- International Journal of Computer Vision (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Video Surveillance and Tracking Methods
- Keywords
- optical flow, motion perception, aperture problem, flow uncertainty, distributed representations, parallel implementation
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