Salient-motion-heuristic scheme for fast 3D optical flow estimation using RGB-D data

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2013, Pages 2272-2276

  Wang, Can ^a   Liu, Hong ^a  

^a PEKING UNIVERSITY   (China)

Author keywords

3D optical flow; depth flow; RGB D

Indexed keywords

3D OPTICAL FLOW; COMPLEX SCENES; DEPTH CONSTRAINTS; DEPTH FLOW; ESTIMATION ERRORS; MOTION DESCRIPTION; OPTICAL FLOW ESTIMATION; RGB-D;

ESTIMATION; SIGNAL PROCESSING; THREE DIMENSIONAL;

OPTICAL FLOWS;

EID: 84890495750     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6638059     Document Type: Conference Paper

References (15)

1. A. Becciu, H. van Assen, L. Florack, S. Kozerke, V. Roode and B. ter Haar Romeny "A multi-scale feature based optic flow method for 3D cardiac motion estimation", Scale Space Variant Methods Computer Vision, 2009, pp.588-599. 1
2. J.P. Costeira and T. Kanade, "A multibody factorization method for independently moving Objects", International Journal of Computer Vision, IJCV 1998, pp.159-179. 1
3. S. Avidan and A. Shashua., "Non-rigid parallax for 3D linear motion". IEEE Conference on Computer Vision and Pattern Recognition, CVPR 1998, pp.62-66. 1
4. G.S. Young and R. Chellappa., "3-D motion estimation using a sequence of noisy stereo images: Models, estimation, and uniqueness". IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI 1999, pp.735-759. 1
5. M.B. Holte, T.B. Moeslund and P. Fihl."View-invariant gesture recognition using 3D optical flow and harmonic motion context". Computer Vision Image Understanding, CVIU 2010, pp.1353-1361. 1, 4
6. C.Wang and H. liu, "A Reliable Moving Human Detection and Tracking Method based on Accurate ObjectsSegmentation using Range Sensor",IEEE International Conference on Multi-sensor Fusion and Information Integration, MFI 2012, Hamburg, German, 13-15 September, pp.330-335. 1, 2
7. Bingbing Ni, Gang Wang and Pierre Moulin, "RGBDHuDaAct: A Color-Depth Video Database For Human Daily Activity Recognition", IEEE workshop on Consumer Depth Cameras for Computer Vision, in conjunction with ICCV 2011. 6-13 November pp.1147-1153. 1, 2, 4
8. B. Horn and B. Schunck, "Determining Optical Flow", Artificial Intelligence,1981, vol. 17, pp.185-203.
9. B. D. Lucas and T. Kanade, "An iterative image registration technique with an application to stereo vision". Proceedings of Imaging Understanding Workshop, 1981, pp.121-130. 1
10. C. Wang and H. liu, "Robust Visual Tracking based on Adaptive Depth-Color-Cue Integration using Range Sensor",IEEE International Conference on Multi-sensor Fusion and Information Integration, MFI 2012, Hamburg, German, 13-15 September, pp.336-343. 1
11. Microsoft Corp. Redmond WA. "Kinect for Xbox 360". 2
12. Piotr Dollar, Vincent Rabaud, Garrison Cottrell and Serge Belongie, "Behavior Recognition via Sparse Spatio-Temporal Features", IEEE International Conference on Computer Vision VS-PETS 2005, Beijing, China, 15-16 October, pp.65-72. 3, 4
13. Schindler, K.and van Gool, L., "Action snippets: How many frames does human action recognition require?," IEEE Computer Vision and Pattern Recognition, CVPR 2008, 23-28 June 2008, pp.1-8. 3, 4
14. Spinello, Luciano and Arras, Kai O., "People detection in RGB-D data", 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2011, 25-30 Septempber, pp.3838-3843. 4
15. Bonnin, A., Borras, R.and Vitria, J., "A cluster-based strategy for active learning of RGB-D object detectors", 2011 IEEE International Conference on Computer Vision Workshops, ICCVW 2011, 6-13 November, pp.1215-1220. 4