C. Augonnet, StarPU: A Unified Platform for Task Scheduling on Heterogeneous Multicore Architectures, Concurrency and Computation: Practice and Experience, pp.863-874, 2009.
DOI : 10.1002/cpe.1631

URL : https://hal.archives-ouvertes.fr/inria-00384363

J. Y. Bouguet, Pyramidal Implementation of the Lucas Kanade Feature Tracker, Description of the algorithm Intel Corporation Microprocessor Research Labs, pp.851-862, 2000.

R. Deriche and T. Blaszka, Recovering and characterizing im-age features using an efficient model based approach, Proceedings of the Conference on Computer Vision and Pattern Recogni-tion, pp.530-535, 1993.
DOI : 10.1109/cvpr.1993.341079

A. Grama, A. Gupta, G. Karypis, and V. Kumar, Introduction to Parallel Computing, 2003.

C. Harris, A Combined Corner and Edge Detector, Procedings of the Alvey Vision Conference 1988, pp.147-152, 1988.
DOI : 10.5244/C.2.23

URL : http://www.bmva.org/bmvc/1988/avc-88-023.pdf

B. K. Horn and B. G. Schunk, Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981.
DOI : 10.1016/0004-3702(81)90024-2

URL : http://www.liralab.it/teaching/SINA/papers/horn-schunck-81.pdf

M. A. Larhmam, A Portable Multi-CPU/Multi-GPU Based Vertebra Localization in Sagittal MR Images, International Conference on Image Analysis and Recognition, ICIAR 2014, pp.209-218, 2014.
DOI : 10.1007/978-3-319-11755-3_24

F. Lecron, Heterogeneous Computing for Vertebra Detection and Segmentation in X-Ray Images, International Journal of Biomedical Imaging, vol.10, issue.2, pp.1-12, 2011.
DOI : 10.3138/FM57-6770-U75U-7727

D. G. Lowe, Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004.
DOI : 10.1023/B:VISI.0000029664.99615.94

URL : http://www.cs.ubc.ca/~lowe/papers/ijcv03.ps

S. A. Mahmoudi, Multi-GPU based event detection and localization using high definition videos, 2014 International Conference on Multimedia Computing and Systems (ICMCS), pp.81-86, 2014.
DOI : 10.1109/ICMCS.2014.6911183

S. A. Mahmoudi, M. Kierzynka, P. Manneback, and K. Kurowski, Real-time motion tracking using optical flow on multiple GPUs, Bulletin of the Polish Academy of Sciences: Technical Sciences, vol.62, issue.1, pp.139-150, 2014.
DOI : 10.2478/bpasts-2014-0016

URL : http://www.degruyter.com/downloadpdf/j/bpasts.2014.62.issue-1/bpasts-2014-0016/bpasts-2014-0016.xml

S. A. Mahmoudi, F. Lecron, P. Manneback, M. Benjelloun, and S. Mahmoudi, GPU-based segmentation of cervical vertebra in X-Ray images, 2010 IEEE International Conference On Cluster Computing Workshops and Posters (CLUSTER WORKSHOPS), pp.1-8, 2010.
DOI : 10.1109/CLUSTERWKSP.2010.5613102

S. A. Mahmoudi and P. Manneback, Efficient exploitation of heterogeneous platforms for images features extraction, 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA), pp.91-96, 2012.
DOI : 10.1109/IPTA.2012.6469569

J. Marzat, Y. Dumortier, and A. Ducrot, Real-time dense and accurate parallel optical flow using CUDA, Proceedings of WSCG, pp.105-111, 2009.
URL : https://hal.archives-ouvertes.fr/inria-00346710

K. Park, S. Nitin, and H. L. Man, Design and Performance Evaluation of Image Processing Algorithms on GPUs, IEEE Transactions on Parallel and Distributed Systems, vol.22, issue.1, pp.1-14, 2011.
DOI : 10.1109/TPDS.2010.115

P. , R. Possa, S. A. Mahmoudi, N. Harb, C. Valderrama et al., A multi-resolution fpga-based architecture for real-time edge and corner detection, IEEE Transactions on Computers, vol.63, pp.2376-2388, 2014.
DOI : 10.1109/tc.2013.130

S. N. Sinha, J. Fram, M. Pollefeys, and Y. Genc, Gpu-based video feature tracking and matching, Workshop on Edge Computing Using New Commodity Architectures, 2006.

D. Tardieu, Video navigation tool: Application to browsing a database of dancers' performances, QPSR of the numediart research program, pp.85-90, 2009.

Z. Yang, Y. Zhu, and Y. Pu, Parallel Image Processing Based on CUDA, 2008 International Conference on Computer Science and Software Engineering, pp.198-201, 2008.
DOI : 10.1109/CSSE.2008.1448

S. Zhu and K. Ma, Correction to "A new diamond search algorithm for fast block-matching motion estimation", IEEE Transactions on Image Processing, vol.9, issue.3, pp.287-290, 2000.
DOI : 10.1109/TIP.2000.826791