TV Minimization of Direct Algebraic Method of Optical Flow Detection Via Modulated Integral Imaging using Correlation Image Sensor.
Toru Kurihara, Shigeru Ando
2014
Abstract
A novel mathematical method and a sensing system that detects velocity vector distribution on an optical image with a pixel-wise spatial resolution and a frame-wise temporal resolution is extended by total variation minimization. We applied fast total variation minimization technique for exact algebraic method of optical flow detection. Simulation result showed that directional error caused by local aperture problem decreased effectively by the virtue of global optimization. Experimental results showed edge preserving characteristics on the boundary of motion.
References
- Ando, S. and Kimachi, A. (2003). Correlation image sensor: Two-dimensinal matched detection of amplitudemodulated light. volume 50, pages 2059-2066.
- Ando, S., Kurihara, T., and Wei, D. (2009). Exact algebraic method of optical flow detection via modulated integral imaging -theoretical formulation and realtime implementation using correlation image sensor-. pages 480-487.
- Ando, S. and Nara, T. (2009). An exact direct method of sinusoidal parameter estimation derived from finite fourier integral of differential equation. volume 57, pages 3317-3329.
- Chambolle, A. (2004). An algorithm for total variation minization and applications. volume 20, pages 89-97.
- Horn, B. K. P. and Schunk, B. G. (1981). Determining optical flow. volume 17, pages 185-203.
- Kurihara, T. and Ando, S. (2013). Fast optical flow detection based on weighted integral method using correlation image sensor and gpu(in japanese). volume 3, pages 170-171.
- Rudin, L. I., Osher, S., and Fatemi, E. (1992). Nonlinear total variation based noise removal algorithms. volume 60, pages 259-268.
- Zach, C., Pock, T., and Bishop, H. (2007). A duality based approach for realtime tv-l1 optical flow. pages 214- 223.
Paper Citation
in Harvard Style
Kurihara T. and Ando S. (2014). TV Minimization of Direct Algebraic Method of Optical Flow Detection Via Modulated Integral Imaging using Correlation Image Sensor. . In Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014) ISBN 978-989-758-009-3, pages 705-710. DOI: 10.5220/0004853207050710
in Bibtex Style
@conference{visapp14,
author={Toru Kurihara and Shigeru Ando},
title={TV Minimization of Direct Algebraic Method of Optical Flow Detection Via Modulated Integral Imaging using Correlation Image Sensor.},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)},
year={2014},
pages={705-710},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004853207050710},
isbn={978-989-758-009-3},
}
in EndNote Style
TY - CONF
JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2014)
TI - TV Minimization of Direct Algebraic Method of Optical Flow Detection Via Modulated Integral Imaging using Correlation Image Sensor.
SN - 978-989-758-009-3
AU - Kurihara T.
AU - Ando S.
PY - 2014
SP - 705
EP - 710
DO - 10.5220/0004853207050710