International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Measurement of Heartbeat Rate by GFT and SDM in Facial Video

Author : K.Annapoorani ¹ M.Manimegalai ²

Date of Publication :7th August 2016

Abstract: Human body is effectively tested only by the heartbeat. Based on the heartbeat rate many diseases can be found. In this paper, we have proposed effective method for detecting heartbeat. This method overcome the difficulties in the previous methods proposed like, subject movement in the unrealistic environment etc. The proposed method detects the feature point using GFT and SDM in Facial video. Before this Face quality Assessment is also included. This need to be tested on the MAHNOB-HCI database which includes realistic scenarios. This method will achieve good experimental performance.

Reference :

1. J. Klonovs, M. A. Haque, V. Krueger, K. Nasrollahi, K. Andersen-Ranberg, T.B.Moeslund, and E. G. Spaich, “Distributed Computing and Monitoring Technologies for Older Patients”, 1st ed. Springer International Publishing, 2015.
2. H.-Y. Wu, M. Rubinstein, E. Shih, J. Guttag, F. Durand, and W. Freeman, “Eulerian Video Magnification for Revealing Subtle Changes in the World,” ACM Trans Graph, vol. 31, no. 4, pp. 65:1–65:8, Jul. 2012.
3. M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Noncontact, automated cardiac pulse measurements using video imaging and blind source separation,” Opt. Express, vol. 18, no. 10, pp. 10762–10774, May 2010.
4. H. Monkaresi, R.K . Calvo, and H. Yan, “A Machine Learning Approach to Improve Contactless Heart Rate Monitoring Using a Webcam,” IEEE J. Biomed. Health Inform., vol. 18, no. 4, pp. 1153–1160, Jul. 2014.
5. X. Li, J. Chen, G. Zhao, and M. Pietikainen, “Remote Heart Rate Measurement From Face Videos Under Realistic Situations,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014, pp.4321–4328.
6. M.-Z. Poh, D. J. McDuff, and R. W. Picard, “Advancements in Noncontact, Multiparameter Physiological Measurements Using a Webcam,” IEEE Trans. Biomed. Eng., vol. 58, no. 1, pp. 7–11, Jan. 2011.
7. S. Kwon, H. Kim, and K. S. Park, “Validation of heart rate extraction using video imaging on a built-in camera system of a smartphone,” in 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2012, pp. 2174–2177.
8. M. A. Haque, K. Nasrollahi, and T. B. Moeslund, “Heartbeat Signal from Facial Video for Biometric Recognition,” in Image Analysis, R. R. Paulsen and K. S. Pedersen, Eds. Springer International Publishing,2015, pp. 165–174.
9. M. A. Haque, K. Nasrollahi, and T. B. Moeslund, “Can contact-free measurement of heartbeat signal be used in forensics?,” in 23rd European Signal Processing Conference (EUSIPCO), Nice, France, 2015, pp. 1–5.
10. M. A. Haque, K. Nasrollahi, and T. B. Moeslund, “Efficient contactless heartbeat rate measurement for health monitoring,” International J. Integr. Care, vol. 15, no. 7, pp. 1–2, Oct. 2015.
11. G. Balakrishnan, F. Durand, and J. Guttag, “Detecting Pulse from Head Motions in Video,” in IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013, pp. 3430–3437
12. R. Irani, K. Nasrollahi, and T. B. Moeslund, “Improved Pulse Detection from Head Motions Using DCT,” in 9th International Conference on Computer Vision Theory and Applications (VISAPP), 2014, pp. 1–8.
13. J. Bouguet, “Pyramidal implementation of the Lucas Kanade feature tracker,” Intel Corp. Microprocess. Res.Labs, 2000.
14. A. D. Bagdanov, A. Del Bimbo, F. Dini, G. Lisanti, and I. Masi, “Posterity Logging of Face Imagery for Video Surveillance,” IEEE Multimed., vol. 19, no. 4, pp. 48–59, Oct. 2012
15. K. Nasrollahi and T. B. Moeslund, “Extracting a Good Quality Frontal Face Image From a Low-Resolution Video Sequence,” IEEE Trans. Circuits Syst. Video Technol., vol. 21, no. 10, pp. 1353–1362, Oct. 2011.
16. M. A. Haque, K. Nasrollahi, and T. B. Moeslund, “Quality-Aware Estimation of Facial Landmarks in Video Sequences,” in IEEE Winter Conference on Applications of Computer Vision (WACV), 2015, pp.1-8