Multiple target localisation at over 100 FPS

British Machine Vision Conference, BMVC 2009 - Proceedings

Volumn , Issue , 2009, Pages

  Taylor, Simon ^a   Drummond, Tom ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION TIME; FEATURE-BASED; LOCALISATION; MULTIPLE TARGETS; ROTATION INVARIANT; TOTAL PROCESSING TIME; TREE-BASED; VIDEO SEQUENCES;

COMPUTER VISION;

EID: 84898900158     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.23.58     Document Type: Conference Paper

References (16)

1. Software optimization guide for AMD64 processors. URL http://www.amd.com/us-en/assets/content-type/white-papers-and-tech-docs/25112. PDF.
2. M. Brown, R. Szeliski, and S. Winder. Multi-image matching using multi-scale oriented patches. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 510-517, 2005.
3. Ondrej Chum and Jiří Matas. Matching with PROSAC - progressive sample consensus. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 220-226, 2005.
4. C Harris and M Stephens. A combined corner and edge detector. In Proc. of the 4th ALVEY Vision Conference, pages 147-151, 1988.
5. Marko Heikkilä, Matti Pietikäinen, and Cordelia Schmid. Description of interest regions with local binary patterns. Pattern Recogn., 42(3):425-436, 2009.
6. V. Lepetit and P. Fua. Keypoint recognition using randomized trees. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 28(9):1465-1479, Sept. 2006.
7. David G. Lowe. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision, 2:91-110, 2004.
8. J. Matas, O. Chum, M. Urbana, and T. Pajdlaa. Robust wide-baseline stereo from maximally stable extremal regions. Image and Vision Computing, 22(10):761-767, September 2004.
9. Krystian Mikolajczyk and Cordelia Schmid. An affine invariant interest point detector. In Proc. 7th European Conference on Computer Vision, Copenhagen, Denmark, pages 128-142. Springer, 2002.
10. Krystian Mikolajczyk and Cordelia Schmid. A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Mach. Intell., 27(10):1615-1630, 2005.
11. M. Ozuysal, P. Fua, and V. Lepetit. Fast keypoint recognition in ten lines of code. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2007.
12. th Euproean Conference on Computer Vision, Volume 1, pages 430-443. Springer, April 2006.
13. Cordelia Schmid and Roger Mohr. Local greyvalue invariants for image retrieval. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19:530-535, 1997.
14. Simon Taylor, Edward Rosten, and Tom Drummond. Robust feature matching in 2.3μs. In IEEE CVPR Workshop on Feature Detectors and Descriptors: The State Of The Art and Beyond, June 2009.
15. Daniel Wagner, Gerhard Reitmayr, Alessandro Mulloni, Tom Drummond, and Dieter Schmalstieg. Pose tracking from natural features on mobile phones. In Proc. ISMAR 2008, Cambridge, UK, Sept. 15-18 2008.
16. Simon A. Winder and Matthew Brown. Learning local image descriptors. In Proc. IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2007.