Tasking networked CCTV cameras and mobile phones to identify and localize multiple people

UbiComp'10 - Proceedings of the 2010 ACM Conference on Ubiquitous Computing

Volumn , Issue , 2010, Pages 213-222

  Teixeira, Thiago ^a   Jung, Deokwoo ^a   Savvides, Andreas ^a  

^a YALE UNIVERSITY   (United States)

Author keywords

cameras; inertial sensors; localization; person identification

Indexed keywords

CAMERA NETWORK; INERTIAL SENSOR; LOCAL MOTIONS; LOCALIZATION; MAXIMUM A POSTERIORI; MOTION CORRESPONDENCES; MOTION PATH; MULTIPLE PEOPLE; ONE CAMERA; PERSON IDENTIFICATION; SENSOR FUSION; STATISTICAL DEPENDENCE; TEMPORAL GAPS;

ACCELEROMETERS; CAMERAS; COMPUTER SIMULATION; COMPUTER VISION; GLOBAL SYSTEM FOR MOBILE COMMUNICATIONS; HUMAN COMPUTER INTERACTION; INERTIAL NAVIGATION SYSTEMS; MOBILE DEVICES; MOBILE PHONES; TELEPHONE; TELEPHONE SETS; UBIQUITOUS COMPUTING;

SENSORS;

EID: 78650008750     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1864349.1864367     Document Type: Conference Paper

References (37)

1. N. Anjum and A. Cavallaro. Multi-camera calibration and global trajectory fusion. In Y. Ma and G. Qian, editors, Intelligent Video Surveillance: Systems and Technologies. CRC Press, 2009.
2. Y. Bar-Shalom and W. D. Blair, editors. Multitarget-Multisensor Tracking. Artech House Publishers, 1990.
3. K. Bernardin, A. Elbs, and R. Stiefelhagen. Multiple object tracking performance metrics and evaluation in a smart room environment. In IEEE VS, 2006.
4. J. E. A. Bertram and A. Ruina. Multiple walking speed-frequency relations are predicted by constrained optimization. Journal of Theoretical Biology, 209(4):445-453, 2001.
5. D. C. Brogan and N. L. Johnson. Realistic human walking paths. In IEEE CASA, 2003
6. O. Cappé, E. Moulines, and T. Rydén. Inference in hidden Markov models. Springer Verlag, 2005.
7. J. Connell, A. Senior, A. Hampapur, Y. Tian, L. Brown, and S. Pankanti. Detection and tracking in the IBM PeopleVision system. In IEEE ICME, 2004.
8. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. In IEEE CVPR, 2005.
9. D. Devarajan and R. Radke. Distributed metric calibration for large-scale camera networks. In BASENETS, 2004.
10. N. Fisher. Statistical analysis of circular data. Cambridge Univ Pr, 1996.
11. E. Foxlin. Pedestrian tracking with shoe-mounted inertial sensors. IEEE Computer Graphics and Applications, 25(6):38-46, 2005.
12. M. Kourogi and T. Kurata. Personal positioning based on walking locomotion analysis with self-contained sensors and a wearable camera. IEEE/ACM ISMAR, 2003.
13. H. W. Kuhn. The hungarian method for the assignment problem. In Naval Research Logistic Quarterly, volume 52, 1955.
14. B. Kusy, A. Ledeczi, and X. Koutsoukos. Tracking mobile nodes using rf doppler shifts. In ACM SenSys, 2007. ACM.
15. P. Lichtsteiner, J. Kramer, and T. Delbruck. Improved on/off temporally differentiating address-event imager. In IEEE ICECS, 2004.
16. P. Lichtsteiner, C. Posch, and T. Delbruck. A 128x 128 120dB 15us latency asynchronous temporal contrast vision sensor. IEEE Journal of Solid State Circuits, 43(2):566-576, 2008.
17. D. G. Lowe. Distinctive image features from scale-invariant keypoints. volume 60, pages 91-110, 2004.
18. D. Lymberopoulos, Q. Lindsey, and A. Savvides. An Empirical Analysis of Radio Signal Strength Variability in IEEE 802.15.4 Networks using Monopole Antennas. In Lecture Notes in Computer Science, volume 3868, page 326, 2006.
19. D. Lymberopoulos, T. Teixeira, and A. Savvides. Macroscopic human behavior interpretation using distributed sensor networks. Proceedings of IEEE, October 2008.
20. W. Mayol, A. Davison, B. Tordoff, and D. Murray. Applying active vision and slam to wearables. In IEEE ISRR, 2003.
21. T. Murakita, T. Ikeda, and H. Ishiguro. Human tracking using floor sensors based on the Markov chain Monte Carlo method. In IEEE ICPR, 2004.
22. A. Savvides, C. Han, and M. B. Srivastava. Dynamic fine grained localization in ad-hoc sensor networks. In ACM Mobicom 2001, 2001.
23. E. Schoonderwaldt, N. Rasamimanana, and F. Bevilacqua. Combining accelerometer and video camera: Reconstruction of bow velocity profiles. In NIME, 2006.
24. D. Schulz, D. Fox, and J. Hightower. People tracking with anonymous and id-sensors using rao-blackwellised particle filters. In IJCAI, 2003.
25. M. Shankar, J. Burchett, Q. Hao, B. Guenther, D. Brady, et al. Human-tracking systems using pyroelectric infrared detectors. Optical Engineering, 45:106401, 2006.
26. N. Shrivastava, R. Madhow, and S. Suri. Target tracking with binary proximity sensors: fundamental limits, minimal descriptions, and algorithms. In ACM SenSys, 2006.
27. L. D. Stone, C. A. Barlow, and T. L. Corwin. Bayesian Multiple Target Tracking. Artech House Publishers, 1999.
28. M. Taj, E. Maggio, and A. Cavallaro. Multi-feature graph-based object tracking. In CLEAR, pages 190-199, 2006.
29. Y. Tao, H. Hu, and H. Zhou. Integration of vision and inertial sensors for 3D arm motion tracking in home-based rehabilitation. The International Journal of Robotics Research, 26(6):607, 2007.
30. T. Teixeira, D. Jung, G. Dublon, and A. Savvides. Identifying people by gait-matching using cameras and wearable accelerometers. In ACM/IEEE ICDSC, 2009.
31. T. Teixeira, D. Jung, G. Dublon, and A. Savvides. Identifying people in camera networks using wearable accelerometers. In ACM PETRA, 2009.
32. T. Teixeira and A. Savvides. Lightweight people counting and localizing in indoor spaces using camera sensor nodes. In ACM/IEEE (ICDSC), 2007.
33. C. J. Veenman, M. Reinders, and E. Backer. Resolving motion correspondence for densely moving points. In IEEE Transactions on Pattern Analysis and Machine Intelligence, March.
34. J. Vermaak, S. Godsill, and P. Perez. Monte Carlo filtering for multi-target tracking and data association. IEEE Transactions on Aerospace and Electronic systems, 41(1):309-332, 2005.
35. W. T. Willis, K. J. Ganley, and R. M. Herman. Fuel oxidation during human walking. Metabolism - Clinical and Experimental, June 2005.
36. J. Wilson and N. Patwari. Radio tomographic imaging with wireless networks. IEEE Trans. Mobile Computing, 2009.
37. Z. Xiang, S. Song, J. Chen, H. Wang, J. Huang, and X. Gao. A wireless lan-based indoor positioning technology. IBM J. Res. Dev., 48(5/6):617-626, 2004.