DT-DT: Top-down human activity analysis for interactive surface applications

ITS 2014 - Proceedings of the 2014 ACM International Conference on Interactive Tabletops and Surfaces

Volumn , Issue , 2014, Pages 167-176

  Hu, Gang ^a   Reilly, Derek ^a   Alnusayri, Mohammed ^a   Swinden, Ben ^a   Gao, Qigang ^a  

^a DALHOUSIE UNIVERSITY   (Canada)

Author keywords

Human body detection; Kinect; Proxemics; Saliency map; Top down tracking; Whole body interaction

Indexed keywords

CAMERAS;

HUMAN BODY DETECTIONS; KINECT; PROXEMICS; SALIENCY MAP; TOPDOWN; WHOLE-BODY INTERACTIONS;

MOTION TRACKING;

EID: 84919333968     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2669485.2669501     Document Type: Conference Paper

References (38)

1. Andriyenko, A., Schindler, K., and Roth, S. Discrete-continuous optimization for multi-target tracking. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE (2012), 1926-1933.
2. Annett, M., Grossman, T., Wigdor, D., and Fitzmaurice, G. Medusa: A proximity-aware multi-touch tabletop. In Proceedings of the 24th annual ACM symposium on User interface software and technology, ACM (2011), 337-346.
3. Bleser, G., and Stricker, D. Advanced tracking through efficient image processing and visual-inertial sensor fusion. Computers & Graphics 33, 1 (2009), 59-72.
4. Bobick, A. F., Intille, S. S., Davis, J. W., Baird, F., Pinhanez, C. S., Campbell, L. W., Ivanov, Y. A., Schütte, A., and Wilson, A. The kids room: A perceptually-based interactive and immersive story environment. Presence: Tele operators and Virtual Environments 8, 4 (1999), 369-393.
5. Breitenstein, M. D., Reichlin, F., Leibe, B., Koller-Meier, E., and Van Gool, L. Robust tracking-by-detection using a detector confidence particle filter. In Computer Vision, 2009 IEEE 12th International Conference on, IEEE (2009), 1515-1522.
6. Brudy, F., Ledo, D., Greenberg, S., and Butz, A. Is anyone looking? mitigating shoulder surfing on public displays through awareness and protection. In Proceedings of The 3rd International Symposium on Pervasive Displays, PerDis (2014), 1-6.
7. Choi, W., Pantofaru, C., and Savarese, S. Detecting and tracking people using an rgb-d camera via multiple detector fusion. In Computer Vision Workshops (ICCV Workshops), 2011 IEEE International Conference on, IEEE (2011), 1076-1083.
8. Collins, R. T. Multi target data association with higher-order motion models. In Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE (2012), 1744-1751.
9. Dalal, N., and Triggs, B. Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 1, IEEE (2005), 886-893.
10. Enzweiler, M., Eigenstetter, A., Schiele, B., and Gavrila, D. M. Multi-cue pedestrian classification with partial occlusion handling. In Computer vision and pattern recognition (CVPR), 2010 IEEE Conference on, IEEE (2010), 990-997.
11. Fragkiadaki, K., and Shi, J. Detection free tracking: Exploiting motion and topology for segmenting and tracking under entanglement. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, IEEE (2011), 2073-2080.
12. Fragkiadaki, K., Zhang, W., Zhang, G., and Shi, J. Two-granularity tracking: Mediating trajectory and detection graphs for tracking under occlusions. In Computer Vision-ECCV 2012. Springer, 2012, 552-565.
13. Gao, Q., and Wong, A. Curve detection based on perceptual organization. Pattern Recognition 26, 7 (1993), 1039-1046.
14. Hu, G., and Gao, Q. A non-parametric statistics based method for generic curve partition and classification. In Image Processing (ICIP), 2010 17th IEEE International Conference on, IEEE (2010), 3041-3044.
15. Hu, N., Englebienne, G., and Kröse, B. J. Bayesian fusion of ceiling mounted camera and laser range finder on a mobile robot for people detection and localization. In Human Behavior Understanding. Springer, 2012, 41-51.
16. Huang, C., Wu, B., and Nevatia, R. Robust object tracking by hierarchical association of detection responses. In Computer Vision-ECCV 2008. Springer, 2008, 788-801.
17. Ikemura, S., and Fujiyoshi, H. Human detection by haar-like filtering using depth information. In Pattern Recognition (ICPR), 2012 21st International Conference on, IEEE (2012), 813-816.
18. Khan, S. M., and Shah, M. A multi view approach to tracking people in crowded scenes using a planar homo graphy constraint. In Computer Vision-ECCV 2006. Springer, 2006, 133-146.
19. Khoshelham, K., and Elberink, S. O. Accuracy and resolution of kinect depth data for indoor mapping applications. Sensors 12, 2 (2012), 1437-1454.
20. Klinkhammer, D., Nitsche, M., Specht, M., and Reiterer, H. Adaptive personal territories for co-located tabletop interaction in a museum setting. In Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces, ACM (2011), 107-110.
21. Laakso, S., and Laakso, M. Design of a body-driven multiplayer game system. Computers in Entertainment (CIE) 4, 4 (2006), 7.
22. Laakso, S., and Ruikka, P. Mofun circus-iterative process in creating pervasive body-driven multiplayer game (2007).
23. Lanz, O., Chippendale, P., and Brunelli, R. An appearance-based particle filter for visual tracking in smart rooms. In Multimodal Technologies for Perception of Humans. Springer, 2008, 57-69.
24. Lin, Q., Zhou, C., Wang, S., and Xu, X. Human behavior understanding via top-view vision. AASRI Procedia 3 (2012), 184-190.
25. Pietroni, E., and Antinucci, F. the approval of the franciscan rule: virtual experience among the characters of giotto's work. In Proceedings of the 11th International conference on Virtual Reality, Archaeology and Cultural Heritage, Euro graphics Association (2010), 171-178.
26. Qian, G., Chellappa, R., and Zheng, Q. Bayesian structure from motion using inertial information. In Image Processing. 2002. Proceedings. 2002 International Conference on, vol. 3, IEEE (2002), III-425.
27. Robertson, T., Mansfield, T., and Loke, L. Designing an immersive environment for public use. In Proceedings of the ninth conference on Participatory design: Expanding boundaries in design-Volume 1, ACM (2006), 31-40.
28. Seyed, T., Burns, C., Costa Sousa, M., Maurer, F., and Tang, A. Eliciting usable gestures for multi-display environments. In Proceedings of the 2012 ACM international conference on Interactive tabletops and surfaces, ACM (2012), 41-50.
29. Shotton, J., Sharp, T., Kipman, A., Fitzgibbon, A., Finocchio, M., Blake, A., Cook, M., and Moore, R. Real-time human pose recognition in parts from single depth images. Communications of the ACM 56, 1 (2013), 116-124.
30. Sparacino, F. Scenographies of the past and museums of the future: From the w under kammer to body-driven interactive narrative spaces. In Proceedings of the 12th annual ACM international conference on Multimedia, ACM (2004), 72-79.
31. Vogel, D., and Balakrishnan, R. Interactive public ambient displays: Transitioning from implicit to explicit, public to personal, interaction with multiple users. In Proceedings of the 17th annual ACM symposium on User interface software and technology, ACM (2004), 137-146.
32. Weerachai, S., and Mizukawa, M. Human behavior recognition via top-view vision for intelligent space. In Control Automation and Systems (ICCAS), 2010 International Conference on, IEEE (2010), 1687-1690.
33. Wilson, A. D., and Benko, H. Combining multiple depth cameras and projectors for interactions on, above and between surfaces. In Proceedings of the 23nd annual ACM symposium on User interface software and technology, ACM (2010), 273-282.
34. Wojek, C., Walk, S., Roth, S., and Schiele, B. Monocular 3D scene understanding with explicit occlusion reasoning. In Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on, IEEE (2011), 1993-2000.
35. Yang, B., and Nevatia, R. Online learned discriminative part-based appearance models for multi-human tracking. In Computer Vision-ECCV 2012. Springer, 2012, 484-498.
36. You, S., and Neumann, U. Fusion of vision and gyro tracking for robust augmented reality registration. In Virtual Reality, 2001. Proceedings. IEEE, IEEE (2001), 71-78.
37. Zhang, L., Li, Y., and Nevatia, R. Global data association for multi-object tracking using network flows. In Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on, IEEE (2008), 1-8.
38. Zhao, T., Aggarwal, M., Kumar, R., and Sawhney, H. Real-time wide area multi-camera stereo tracking. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 1, IEEE (2005), 976-983.