Graph-based depth video denoising and event detection for sleep monitoring

2014 IEEE International Workshop on Multimedia Signal Processing, MMSP 2014

Volumn , Issue , 2014, Pages

  Yang, Cheng ^a   Mao, Yu ^b   Cheung, Gene ^b   Stankovic, Vladimir ^a   Chan, Kevin ^c  

^a UNIVERSITY OF STRATHCLYDE   (United Kingdom)

^b GRADUATE UNIVERSITY FOR ADVANCED STUDIES   (Japan)

^c UNIVERSITY OF WESTERN SYDNEY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); GRAPHIC METHODS; IMAGE RETRIEVAL; MEDIAN FILTERS; SIGNAL PROCESSING; SLEEP RESEARCH; SUPPORT VECTOR MACHINES;

BLOCK MOTION VECTORS; EVENT CLASSIFICATION; EVENT DETECTION; NATURAL SLEEP; NON-INTRUSIVE; SIGNAL DOMAIN; SLEEP MONITORING; TRAINING DATA;

MONITORING;

EID: 84914146081     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MMSP.2014.6958802     Document Type: Conference Paper

References (14)

1. A. Malhotra and D. P. White, "Obstructive sleep apnoea," in The Lancet, vol. 360, no. 9328, July 2002, pp. 237-245.
2. P. Pu et al., "Prospective study of the association between sleepdisordered breathing and hypertension," in The New England Journal of Medicine, vol. 342, no. 19, May 2000.
3. C. Yang, G. Cheung, K. Chan, and V. Stankovic, "Sleep monitoring via depth video recording & analysis," in 5th IEEE International Workshop on Hot Topics in 3D (Hot3D), Chengdu, China, July 2013.
4. D. I. Shuman, S. K. Narang, P. Frossard, A. Ortega, and P. Vandergheynst, "The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains," in IEEE Signal Processing Magazine, vol. 30, no. 3, May 2013, pp. 83-98.
5. C. Bishop, Pattern Recognition and Machine Learning. Springer, 2006.
6. D. Falie, M. Ichim, and L. David, "Respiratory motion visualization and the sleep apnea diagnosis with the time of flight (tof) camera," in 1st WSEAS International Conference on Visualization, Imaging and Simulation, Bucharest, Romania, November 2008.
7. M.-C. Yu et al., "Breath and position monitoring during sleeping with a depth camera," in International Conference on Heath Informatics, Vilamoura, Portugal, February 2012.
8. W. Hu, G. Cheung, X. Li, and O. Au, "Depth map compression using multi-resolution graph-based transform for depth-image-based rendering," in IEEE International Conference on Image Processing, Orlando, FL, September 2012.
9. W. Hu, X. Li, G. Cheung, and O. Au, "Depth map denoising using graphbased transform and group sparsity," in IEEE International Workshop on Multimedia Signal Processing, Pula, Italy, October 2013.
10. A. Sandryhaila and J. Moura, "Classification via regularization on graphs," in Symposium on Graph Signal Processing in IEEE Global Conference on Signal and Information Processing (GlobalSIP), Austin, TX, December 2013.
11. J. Keikkila and O. Silven, "A four-step camera calibration procedure with implicit image correction," in IEEE Conference on Computer Vision and Pattern Recognition, San Juan, Puerto Rico, June 2007.
12. C. Tomasi and R. Manduchi, "Bilateral filtering for gray and color images," in Proceedings of the IEEE International Conference on Computer Vision, Bombay, India, 1998.
13. S. Boyd and L. Vandenberghe, Convex Optimization. Cambridge, 2004.
14. S. Matyunin, D. Vatolin, Y. Berdnikov, and M. Smirnov, "Temporal filtering for depth maps generated by kinect depth camera," in 3D TV Conference: The True Vision-Capture, Transmission and Display of 3D Video (3DTV-CON), Antalya, Turkey, May 2011.