Vision based victim detection from unmanned aerial vehicles

IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings

Volumn , Issue , 2010, Pages 1740-1747

  Andriluka, Mykhaylo ^a   Schnitzspan, Paul ^a   Meyer, Johannes ^a   Kohlbrecher, Stefan ^a   Petersen, Karen ^a   Von Stryk, Oskar ^a   Roth, Stefan ^a   Schiele, Bernt ^a,b  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

^b MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DE FACTO STANDARD; DETECTION PERFORMANCE; FLEXIBLE PARTS; MULTIPLE MODELS; ON-BOARD SENSORS; ONBOARD CAMERA; PEOPLE DETECTION; SEARCH AND RESCUE OPERATIONS; VISION BASED;

FLEXIBLE STRUCTURES; NAVIGATION; SENSORS; UNMANNED AERIAL VEHICLES (UAV);

INTELLIGENT ROBOTS;

EID: 78651477795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2010.5649223     Document Type: Conference Paper

References (36)

1. M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. CVPR 2009.
2. K. Arras, S. Grzonka, M. Luber, and W. Burgard. Eficient people tracking in laser range data using a multi-hypothesis leg-tracker with adaptive occlusion probabilities. ICRA, 2008.
3. K. Arras, O. Mozos, and W. Burgard. Using boosted features for the detection of people in 2d range data. ICRA, 2007.
4. J. Y. Bouguet. Camera calibration toolbox for Matlab. www.vision.caltech.edu/bouguetj.
5. L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3d human pose annotations. ICCV 2009.
6. H. Bruyninckx. Open robot control software: The OROCOS project. ICRA, pages 2523-2528, 2001.
7. A. Carballo, A. Ohya, and S. Yuta. Multiple people detection from a mobile robot using double layered laser range finders. ICRA Workshop on People Detection and Tracking, 2009.
8. J. Cooper and M. Goodrich. Towards combining UAV and sensor operator roles in UAV-enabled visual search. International Conference on Human Robot Interaction, pages 351-358, 2008.
9. N. Dalal and B. Triggs. Histograms of oriented gradients for human detection. CVPR 2005.
10. N. Dalal, B. Triggs, and C. Schmid. Human detection using oriented histograms of flow and appearance. ECCV, 2006.
11. J. Davis and V. Sharma. Robust detection of people in thermal imagery. ICPR, 2004.
12. P. Doherty and P. Rudol. A UAV search and rescue scenario with human body detection and geolocalization. Australian Joint Conference on Artificial Intelligence, 4830:1, 2007.
13. P. Dollár, C. Wojek, B. Schiele, and P. Perona. Pedestrian detection: A benchmark. CVPR, 2009.
14. A. Ess, B. Leibe, K. Schindler, and L. Van Gool. Moving Obstacle Detection in Highly Dynamic Scenes. ICRA, 2009.
15. P. F. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. PAMI, 2009.
16. P. F. Felzenszwalb and D. P. Huttenlocher. Pictorial structures for object recognition. IJCV, 61:55-79, Jan. 2007.
17. P. F. Felzenszwalb, D. McAllester, and D. Ramanan. A discriminatively trained, multiscale, deformable part model. CVPR 2008.
18. V. Ferrari, M. Marin, and A. Zisserman. Progressive search space reduction for human pose estimation. CVPR 2008.
19. A. Fod, A. Howard, and M. Mataric. Laser-based people tracking. ICRA, 2002.
20. G. Gate, A. Breheret, and F. Nashashibi. Centralized fusion for fast people detection in dense environment. ICRA, 2009.
21. W. Green, K. Sevcik, and P. Oh. A competition to identify key challenges for unmanned aerial robots in near-earth environments. ICAR, 2005.
22. J. Heikkila and O. Silven. A four-step camera calibration procedure with implicit image correction. CVPR, page 1106, Washington, DC, USA, 1997. IEEE Computer Society.
23. G. Hoffmann, H. Huang, S. Waslander, and C. Tomlin. Quadrotor helicopter flight dynamics and control: Theory and experiment. AIAA Guidance, Navigation and Control Conference, 2007.
24. A. Kleiner and R. Kuemmerle. Genetic MRF model optimization for real-time victim detection in Search and Rescue. IROS, 2007.
25. B. Leibe, A. Leonardis, and B. Schiele. Combined object categorization and segmentation with an implicit shape model. ECCV Workshop on statistical learning in computer vision, pages 17-32, 2004.
26. S. Maji and J. Malik. Object detection using a max-margin hough tranform. CVPR 2009.
27. J. Meyer and A. Strobel. A flexible real-time control system for autonomous vehicles. ISR / ROBOTIK, 2010, to appear.
28. R. Murphy. Human-robot interaction in rescue robotics. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews, 34(2):138-153, 2004.
29. K. Nordberg, P. Doherty, G. Farnebck, P.-E. Forssen, G. Granlund, A. Moe, and J. Wiklund. Vision for a uav helicopter. Proceedings of IROS'02, Workshop on aerial robotics, 2002.
30. Q. Pham, L. Gond, J. Begard, N. Allezard, and P. Sayd. Real-time posture analysis in a crowd using thermal imaging. CVPR, 2007.
31. D. Schulz, W. Burgard, D. Fox, and A. Cremers. People tracking with mobile robots using sample-based joint probabilistic data association. IJRR, 22(2), 2003.
32. L. Spinello, R. Triebel, and R. Siegwart. Multimodal people detection and tracking in crowded scenes. AAAI, 2008.
33. F. Suard, A. Rakotomamonjy, A. Benshrair, and A. Broggi. Pedestrian detection using infrared images and histograms of oriented gradients. IEEE Symposium on Intelligent Vehicle, 2006.
34. D. Titterton and J. Weston. Strapdown inertial navigation technology. American Institute of Aeronautics, Washington, DC, 2004.
35. M. Villamizar, J. Scandaliaris, A. Sanfeliu, and J. Andrade-Cetto. Combining color-based invariant gradient detector with HoG descriptors for robust mage detection in scenes under cast shadows. ICRA, 2009.
36. C. Wojek, S. Walk, and B. Schiele. Multi-cue onboard pedestrian detection. CVPR 2009.