Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Research of Rectal Pressure Signal Preprocessing Based on Improved FastICA Algorithm Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Towards Visual Human Tracking of Quadcopter: A Survey

Authors : Ling Chen, Xinxing Pan, Aolei Yang, Yulin Xu

Published in: Advanced Computational Methods in Life System Modeling and Simulation

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In recent years, visual human tracking of quadcopter has become a topic of interest to many research institutions. To overview the recent research status of visual human tracking based on quadcopter, firstly, the problem of human tracking is divided into quadcopter control and vision based human tracking which are discussed separately. The present controlling means and the latest applications of quadcopter are summarized systematically. The advantages and disadvantages of each human tracking method are compared and the tracking strategies are summarized. Then, the difficult issues on visual human tracking are discussed specifically. Finally, the future research directions of visual human tracking based on quadcopter are prospected by summarizing related literatures.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Apical Growing Points Segmentation by Using RGB-D Data
Literature
1.
Beard, R.W., Kingston, D., Quigley, M., Snyder, D., Christiansen, R., Johnson, W., Goodrich, M.: Autonomous vehicle technologies for small fixed-wing UAVs. J. Aerosp. Comput. Inf. Commun. 2(1), 92–108 (2005)CrossRef
2.
Goossen, E.: U.S. Patent No. 8,328,130. U.S. Patent and Trademark Office, Washington, DC (2012)
3.
Johnson, E., Kannan, S.: Adaptive flight control for an autonomous unmanned helicopter. In: AIAA Guidance, Navigation, and Control Conference and Exhibit, p. 4439, August 2002
4.
Sámano, A., Castro, R., Lozano, R., Salazar, S.: Modeling and stabilization of a multi-rotor helicopter. J. Intell. Robot. Syst. 69, 161–169 (2013)CrossRef
5.
Luukkonen, T.: Modelling and control of quadcopter. Independent Research Project in Applied Mathematics, Espoo (2011)
6.
Mellinger, D., Michael, N., Kumar, V.: Trajectory generation and control for precise aggressive maneuvers with quadrotors. Int. J. Robot. Res. 31(5), 664–674 (2012)CrossRef
7.
Sminchisescu, C., Triggs, B.: Kinematic jump processes for monocular 3D human tracking. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 1, p. I. IEEE, June 2003
8.
Zhou, J., Hoang, J.: Real time robust human detection and tracking system. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition-Workshops, CVPR Workshops, p. 149. IEEE, June 2005
9.
Khan, S., Javed, O., Rasheed, Z., Shah, M: Human tracking in multiple cameras. In: Proceedings of the Eighth IEEE International Conference on Computer Vision, ICCV, vol. 1, pp. 331–336. IEEE (2001)
10.
Zhang, D., Xia, F., Yang, Z., Yao, L., Zhao, W.: Localization technologies for indoor human tracking. In: 5th International Conference on Future Information Technology (FutureTech), pp. 1–6. IEEE, May 2010
11.
Ji, S., Xu, W., Yang, M., Yu, K.: 3D convolutional neural networks for human action recognition. IEEE Trans. Pattern Anal. Mach. Intell. 35(1), 221–231 (2013)CrossRef
12.
Wu, Y., Lim, J., Yang, M.H.: Online object tracking: a benchmark. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 2411–2418 (2013)
13.
Glas, D.F., Miyashita, T., Ishiguro, H., Hagita, N.: Laser tracking of human body motion using adaptive shape modeling. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS, pp. 602–608. IEEE, October 2007
14.
Bristeau, P.J., Callou, F., Vissiere, D., Petit, N.: The navigation and control technology inside the AR. drone micro UAV. IFAC Proc. Vol. 44(1), 1477–1484 (2011)CrossRef
15.
Krajník, T., Vonásek, V., Fišer, D., Faigl, J.: AR-drone as a platform for robotic research and education. In: Obdržálek, D., Gottscheber, A. (eds.) EUROBOT 2011. CCIS, vol. 161, pp. 172–186. Springer, Heidelberg (2011). doi:10.​1007/​978-3-642-21975-7_​16 CrossRef
16.
Bills, C., Chen, J., Saxena, A.: Autonomous MAV flight in indoor environments using single image perspective cues. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 5776–5783. IEEE, May 2011
17.
Engel, J., Sturm, J., Cremers, D.: Camera-based navigation of a low-cost quadrocopter. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2815–2821. IEEE, October 2012
18.
Ross, S., Melik-Barkhudarov, N., Shankar, K.S., Wendel, A., Dey, D., Bagnell, J.A., Hebert, M.: Learning monocular reactive uav control in cluttered natural environments. In: IEEE International Conference on Robotics and Automation (ICRA), pp. 1765–1772. IEEE, May 2013
19.
Pestana, J., Sanchez-Lopez, J.L., Saripalli, S., Campoy, P.: Computer vision based general object following for gps-denied multirotor unmanned vehicles. In: American Control Conference (ACC), pp. 1886–1891. IEEE, June 2014
20.
Horie, D.: U.S. Patent Application No. 10/413,662. (2003)
21.
Zhan, C., Duan, X., Xu, S., Song, Z., Luo, M.: An improved moving object detection algorithm based on frame difference and edge detection. In: Fourth International Conference on Image and Graphics, ICIG 2007, pp. 519–523. IEEE, August 2007
22.
Yilmaz, A., Javed, O., Shah, M.: Object tracking: a survey. ACM Comput. Surv. (CSUR) 38(4), 13 (2006)CrossRef
23.
Chen, L., Wei, H., Ferryman, J.: A survey of human motion analysis using depth imagery. Pattern Recogn. Lett. 34(15), 1995–2006 (2013)CrossRef
24.
Lao, W., Han, J., De With, P.H.: Automatic video-based human motion analyzer for consumer surveillance system. IEEE Trans. Consum. Electron. 55(2) (2009)
25.
Ganapathi, V., Plagemann, C., Koller, D., Thrun, S.: Real time motion capture using a single time-of-flight camera. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 755–762. IEEE, June 2010
26.
Ji, X., Liu, H.: Advances in view-invariant human motion analysis: a review. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 40(1), 13–24 (2010)
27.
Hasler, N., Rosenhahn, B., Thormahlen, T., Wand, M., Gall, J., Seidel, H.P.: Markerless motion capture with unsynchronized moving cameras. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR, pp. 224–231. IEEE, June 2009
28.
Junior, J.C.S.J., Musse, S.R., Jung, C.R.: Crowd analysis using computer vision techniques. IEEE Sig. Process. Mag. 27(5), 66–77 (2010)
29.
Moeslund, T.B., Hilton, A., Krüger, V.: A survey of advances in vision-based human motion capture and analysis. Comput. Vis. Image Underst. 104(2), 90–126 (2006)CrossRef
30.
Moeslund, T.B., Granum, E.: A survey of computer vision-based human motion capture. Comput. Vis. Image Underst. 81(3), 231–268 (2001)CrossRefMATH
31.
Hager, G.D., Belhumeur, P.N.: Efficient region tracking with parametric models of geometry and illumination. IEEE Trans. Pattern Anal. Mach. Intell. 20(10), 1025–1039 (1998)CrossRef
32.
Brox, T., Rosenhahn, B., Gall, J., Cremers, D.: Combined region and motion-based 3D tracking of rigid and articulated objects. IEEE Trans. Pattern Anal. Mach. Intell. 32(3), 402–415 (2010)CrossRef
33.
Theobalt, C., Magnor, M.A., Schüler, P., Seidel, H.P.: Combining 2D feature tracking and volume reconstruction for online video-based human motion capture. Int. J. Image Graph. 4(04), 563–583 (2004)CrossRef
34.
Yilmaz, A., Li, X., Shah, M.: Contour-based object tracking with occlusion handling in video acquired using mobile cameras. IEEE Trans. Pattern Anal. Mach. Intell. 26(11), 1531–1536 (2004)CrossRef
35.
Fan, J., Xu, W., Wu, Y., Gong, Y.: Human tracking using convolutional neural networks. IEEE Trans. Neural Networks 21(10), 1610–1623 (2010)CrossRef
36.
Cao, Z., Simon, T., Wei, S.E., Sheikh, Y.: Realtime multi-person 2D pose estimation using part affinity fields. arXiv preprint arXiv:​1611.​08050 (2016)
Metadata
Title
Towards Visual Human Tracking of Quadcopter: A Survey
Authors
Ling Chen
Xinxing Pan
Aolei Yang
Yulin Xu
Copyright Year
2017
Publisher
Springer Singapore
Book
Advanced Computational Methods in Life System Modeling and Simulation

Print ISBN: 978-981-10-6369-5

Electronic ISBN: 978-981-10-6370-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-6370-1_59

Premium Partner

    Image Credits