Multiple target detection and tracking with guaranteed framerates on mobile phones

Science and Technology Proceedings - IEEE 2009 International Symposium on Mixed and Augmented Reality, ISMAR 2009

Volumn , Issue , 2009, Pages 57-64

  Wagner, Daniel ^a   Schmalstieg, Dieter ^a   Bischof, Horst ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

6DOF; Mobile phone; Natural features; Pose estimation

Indexed keywords

AUGMENTED REALITY SYSTEMS; DETECTION AND TRACKING; END-DEVICES; FRAME RATE; MULTIPLE TARGETS; NATURAL FEATURES; NOVEL METHODS; PLANAR TARGET; POSE ESTIMATION; TIME BUDGET;

AUGMENTED REALITY; ESTIMATION; GESTURE RECOGNITION; MOBILE DEVICES; MOBILE PHONES; MOBILE TELECOMMUNICATION SYSTEMS; TARGETS; TELEPHONE; TELEPHONE SETS; TELEPHONE SYSTEMS; VIRTUAL REALITY;

TARGET TRACKING;

EID: 74549168359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISMAR.2009.5336497     Document Type: Conference Paper

References (28)

1. Bay, H., Tuytelaars, T., Gool, L. V., Surf: Speeded up robust features, In Proc. ECCV 2006, 2006.
2. Benhimane, S., Malis, E., Real-time image-based tracking of planes using Efficient Second-order Minimization, In Proc. of International Conference on Intelligent Robots and Systems, Vol. 1, pp. 943-948, 2004
3. Bleser, G., Stricker, D., Advanced tracking through efficient image processing and visual-inertial sensor fusion. In Proc. IEEE VR 2008, pp. 137-144 2008
4. Cai, Y., Freitas, N., Little, J.J., Robust Visual Tracking for Multiple Targets. In Proc. ECCV2006, pp. 107-118, 2006
5. Chum, O., Matas, J., Matching with PROSAC Progressive Sample Consensus, In Proc. CVPR'05 - Volume 1, 220-226, 2005
6. Davison, A.J., Mayol, W.W., Murray, D.W., Real-time localisation and mapping with wearable active vision. In Proc. of IEEE ISMAR 2003, pp. 18-27, 2003
7. Grabner, M., Grabner, H., Bischof, H., Real-time tracking via on-line boosting. In Proc. of British Machine Vision Conference (BMVC), Volume I, pp. 47-56, 2006
8. Hannuksela J., Sangi P. and Heikkilä J., A Vision-Based Approach for Controlling User Interfaces of Mobile Devices, In Proc. CVPR, Workshop on Vision for Human-Computer Interaction (V4HCI), 2005
9. Haro, A., Mori, K., Setlur, V., Capin, T., Mobile Camera-based Adaptive Viewing, In Proc of 4th International Conference on Mobile Ubiquitous Multimedia, MUM 2005
10. Huber, P.J., Robust estimation of a location parameter. In Annals of Mathematical Statistics, pp 73-101, 1964
11. Ibaraki, T., Hasegawa, T., Teranaka, K., and Iwase J. The Multiple Choice Knapsack Problem. J. Oper. Res. Soc. Japan 21, pp. 59-94, 1978
12. Klein, G., Murray, D., Parallel tracking and mapping for small ar workspaces. In Proc. of ISMAR 2007, pp. 225-234, 2007
13. Lepetit, V., Lagger, P., Fua, P., Randomized trees for real-time keypoint recognition. In Proc. CVPR 2005, pp. 775-781, 2005
14. Liu, T., Moore, A.W., Gray, A., Yang, K., An investigation of practical approximate nearest neighbor algorithms. In Advances in Neural, In Information Processing Systems, MIT Press, pp. 825-832, 2004
15. Lowe, D., Distinctive image features from scale-invariant keypoints. Int. Journal of Computer Vision, Volume 60, Issue 2, pp. 91-110, 2004
16. Lucas, B.D., Kanade, T., An iterative image registration technique with an application to stereo vision. In Proc. of 7th International Conference on Artificial Intelligence, pp. 674-679, 1981
17. Ozuysal, M., Fua, P., Lepetit, V., Fast keypoint recognition in ten lines of code. In of Proc. CVPR 2007, pp. 1-8, 2007
18. Park, Y., Lepetit, V., Woo, W., Multiple 3D Object tracking for augmented reality, In Proc. of ISMAR2008, pp. 117-120, 2008
19. Pernkopf, F., Tracking of Multiple Targets Using On-Line Learning for Appearance Model Adaptation, In Proc. of International Conference on Image Analysis and Recognition (ICIAR07), pp. 602-614, 2007
20. Rosten, E., Drummond, T., Machine learning for high-speed corner detection. In Proc. of 9th European Conference on Computer Vision (ECCV2006), pp. 430-443, 2006
21. Skrypnyk, I., Lowe, D., Scene modeling, recognition and tracking with invariant image features. In Proc. of ISMAR 2004, pp. 110-119, 2004
22. Ta, D.-N., Chen, W.-C., Gelfand, N., Pulli, K., SURFTrac: Efficient Tracking and Continuous Object Recognition using Local Feature Descriptors, Conference on Computer Vision and Pattern Recognition (CVPR'09), pp. 2937-2943, 2009
23. Takacs, G., Chandrasekhar, V., Gelfand, N., Xiong, Y., Chen, W.-C., Bismpigiannis, T., Grzeszczuk, R., Pulli, K., and Girod, B., Outdoors Augmented Reality on Mobile Phone using Loxel-Based Visual Feature Organization, In Proc. of the 1st ACM international conference on Multimedia information retrieval, pp. 427-434, 2008
24. Wagner, D., Reitmayr, G., Mulloni, A., Drummond, T., Schmalstieg, D., Pose Tracking from Natural Features on Mobile Phones, In Proc. IEEE ISMAR2008, pp. 125-134, 2008
25. Wang, J. Zhai, S., Canny, J., Camera Phone Based Motion Sensing: Interaction Techniques, Applications and Performance Study, In ACM UIST 2006, pp. 101-110, 2006
26. Yang, C., Duraiswami, R. Davis, L., Fast Multiple Object Tracking via a Hierarchical Particle Filter, In Proc. ICCV'05, pp. 212-219, 2005
27. Yu, T., Wu, Y., Collaborative Tracking of Multiple Targets, In Proc. CVPR'04, pp.834-841, Volume 1, 2004
28. Yuan, X., Li, S.Z., Learning Feature Extraction and Classification for Tracking Multiple Objects: A Unified Framework, In Proc. of the IEEE International Conference on Video and Signal Based Surveillance (AVSS'06), pp.22-27, 2006