Skip to main content

2019 | OriginalPaper | Buchkapitel

Distributed Smart Cameras and Distributed Computer Vision

verfasst von : Marilyn Wolf, Jason Schlessman

Erschienen in: Handbook of Signal Processing Systems

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Distributed smart cameras are multiple-camera systems that perform computer vision tasks using distributed algorithms. Distributed algorithms scale better to large networks of cameras than do centralized algorithms. However, new approaches are required to many computer vision tasks in order to create efficient distributed algorithms. This chapter motivates the need for distributed computer vision, surveys background material in traditional computer vision, and describes several distributed computer vision algorithms for calibration, tracking, and gesture recognition.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

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!

Literatur
1.
2.
Zurück zum Zitat den Bergh, M.V., Koller-Meier, E., Kehl, R., Gool, L.V.: Real-time 3d body pose estimation. In: H. Aghajan, A. Cavallaro (eds.) Multi-Camera Networks: Principles and Applications, chap. 14. Academic Press (2009) den Bergh, M.V., Koller-Meier, E., Kehl, R., Gool, L.V.: Real-time 3d body pose estimation. In: H. Aghajan, A. Cavallaro (eds.) Multi-Camera Networks: Principles and Applications, chap. 14. Academic Press (2009)
3.
4.
Zurück zum Zitat Bimbo, A.D., Dini, F., Pernici, F., Grifoni, A.: Pan-tilt-zoom camera networks. In: H. Aghajan, A. Cavallaro (eds.) Multi-Camera Networks: Principles and Applications, chap. 8. Academic Press (2009)CrossRef Bimbo, A.D., Dini, F., Pernici, F., Grifoni, A.: Pan-tilt-zoom camera networks. In: H. Aghajan, A. Cavallaro (eds.) Multi-Camera Networks: Principles and Applications, chap. 8. Academic Press (2009)CrossRef
5.
Zurück zum Zitat Bodensteiner, C., Arens, M.: Real-time 2d video/3d lidar registration. In: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp. 2206–2209 (2012) Bodensteiner, C., Arens, M.: Real-time 2d video/3d lidar registration. In: Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012), pp. 2206–2209 (2012)
6.
Zurück zum Zitat Boykov, V., Huttenlocher, D.: Adaptive Bayesian recognition in tracking rigid objects. In: Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, pp. 697–704. IEEE (2000) Boykov, V., Huttenlocher, D.: Adaptive Bayesian recognition in tracking rigid objects. In: Proceedings, IEEE Conference on Computer Vision and Pattern Recognition, pp. 697–704. IEEE (2000)
7.
Zurück zum Zitat Bramberger, M., Quaritsch, M., Winkler, T., Rinner, B., Schwabach, H.: Integrating multi-camera tracking into a dynamic task allocation system for smart cameras. In: Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2005), pp. 474–479. IEEE (2005) Bramberger, M., Quaritsch, M., Winkler, T., Rinner, B., Schwabach, H.: Integrating multi-camera tracking into a dynamic task allocation system for smart cameras. In: Proceedings of the IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2005), pp. 474–479. IEEE (2005)
8.
Zurück zum Zitat Candy, J.V.: Boostrap particle filtering. IEEE Signal Processing Magazine 73, 73–85 (2007)CrossRef Candy, J.V.: Boostrap particle filtering. IEEE Signal Processing Magazine 73, 73–85 (2007)CrossRef
10.
Zurück zum Zitat Coates, M.: Distributed particle filters for sensor networks. In: Information Processing in Sensor Networks, 2004. IPSN 2004. Third International Symposium on, pp. 99–107. IEEE (2004) Coates, M.: Distributed particle filters for sensor networks. In: Information Processing in Sensor Networks, 2004. IPSN 2004. Third International Symposium on, pp. 99–107. IEEE (2004)
11.
Zurück zum Zitat Collins, R.T., Lipton, A.J., Fujiyoshi, H., Kanade, T.: Algorithms for cooperative multisensory surveillance. Proceedings of the IEEE 89(10), 1456–1477 (2001)CrossRef Collins, R.T., Lipton, A.J., Fujiyoshi, H., Kanade, T.: Algorithms for cooperative multisensory surveillance. Proceedings of the IEEE 89(10), 1456–1477 (2001)CrossRef
13.
Zurück zum Zitat Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, second edn. Cambridge University Press, ISBN: 0521540518 (2004) Hartley, R.I., Zisserman, A.: Multiple View Geometry in Computer Vision, second edn. Cambridge University Press, ISBN: 0521540518 (2004)
14.
Zurück zum Zitat Horprasesert, T., Harwood, D., Davis, L.S.: A statistical approach for real-time robust background subtraction and shadow detection. In: IEEE International Conference on Computer Vision FRAME-RATE Workshop (1999) Horprasesert, T., Harwood, D., Davis, L.S.: A statistical approach for real-time robust background subtraction and shadow detection. In: IEEE International Conference on Computer Vision FRAME-RATE Workshop (1999)
15.
Zurück zum Zitat Javed, O., Shafique, K., Shah, M.: Appearance modeling for tracking in multiple non-overlapping cameras. In: Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 2, pp. 26–33 (2005). https://doi.org/10.1109/CVPR.2005.71 Javed, O., Shafique, K., Shah, M.: Appearance modeling for tracking in multiple non-overlapping cameras. In: Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, vol. 2, pp. 26–33 (2005). https://​doi.​org/​10.​1109/​CVPR.​2005.​71
16.
Zurück zum Zitat Kim, H., Romberg, J., Wolf, W.: Multi-camera tracking on a graph using Markov chain monte carlo. In: Proceedings, 2009 ACM/IEEE International Conference on Distributed Smart Cameras. ACM (2009) Kim, H., Romberg, J., Wolf, W.: Multi-camera tracking on a graph using Markov chain monte carlo. In: Proceedings, 2009 ACM/IEEE International Conference on Distributed Smart Cameras. ACM (2009)
17.
Zurück zum Zitat Kim, H., Wolf, M.: Distributed tracking in a large-scale network of smart cameras. In: Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras, p. 8–16. ACM Press (2010) Kim, H., Wolf, M.: Distributed tracking in a large-scale network of smart cameras. In: Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras, p. 8–16. ACM Press (2010)
18.
Zurück zum Zitat Lamport, L., Melliar-Smith, M.: Synchronizing clocks in the presence of faults. Journal of the ACM 32(1), 52–78 (1985)MathSciNetCrossRef Lamport, L., Melliar-Smith, M.: Synchronizing clocks in the presence of faults. Journal of the ACM 32(1), 52–78 (1985)MathSciNetCrossRef
19.
Zurück zum Zitat Lin, C.H., Lv, T., Wolf, W., Ozer, I.B.: A peer-to-peer architecture for distributed real-time gesture recognition. In: Proceedings, International Conference on Multimedia and Exhibition, pp. 27–30. IEEE (2004) Lin, C.H., Lv, T., Wolf, W., Ozer, I.B.: A peer-to-peer architecture for distributed real-time gesture recognition. In: Proceedings, International Conference on Multimedia and Exhibition, pp. 27–30. IEEE (2004)
20.
Zurück zum Zitat Mallett, J., Jr., V.M.B.: Eye society. In: Proceedings IEEE ICME 2003. IEEE (2003) Mallett, J., Jr., V.M.B.: Eye society. In: Proceedings IEEE ICME 2003. IEEE (2003)
21.
Zurück zum Zitat McMillan, L., Bishop, G.: Plenoptic modeling: an image-based rendering system. In: Proceedings, ACM SIGGRAPH, pp. 39–46. ACM (1995) McMillan, L., Bishop, G.: Plenoptic modeling: an image-based rendering system. In: Proceedings, ACM SIGGRAPH, pp. 39–46. ACM (1995)
22.
Zurück zum Zitat Oh, S., Russell, S., Sastry, S.: Markov chain monte carlo data association for general multiple-target tracking problems. In: Proc. 43rd IEEE Conf. Decision and Control (2004) Oh, S., Russell, S., Sastry, S.: Markov chain monte carlo data association for general multiple-target tracking problems. In: Proc. 43rd IEEE Conf. Decision and Control (2004)
23.
Zurück zum Zitat Pollefeys, M., Sinha, S.N., Guan, L., Franco, J.S.: Multi-view calibration, synchronization, and dynamic scene reconstruction. In: H. Aghajan, A. Cavallaro (eds.) Multi-Camera Networks: Principles and Applications, chap. 2. Academic Press (2009) Pollefeys, M., Sinha, S.N., Guan, L., Franco, J.S.: Multi-view calibration, synchronization, and dynamic scene reconstruction. In: H. Aghajan, A. Cavallaro (eds.) Multi-Camera Networks: Principles and Applications, chap. 2. Academic Press (2009)
24.
Zurück zum Zitat Porikli, F., Divakaran, A.: Multi-camera calibration, object tracking and query generation. Tech. Rep. TR-2003-100 (2003) Porikli, F., Divakaran, A.: Multi-camera calibration, object tracking and query generation. Tech. Rep. TR-2003-100 (2003)
25.
Zurück zum Zitat Radke, R., Devarajan, D., Cheng, Z.: Calibrating distributed camera networks. Proceedings of the IEEE 96(10), 1625–1639 (2008)CrossRef Radke, R., Devarajan, D., Cheng, Z.: Calibrating distributed camera networks. Proceedings of the IEEE 96(10), 1625–1639 (2008)CrossRef
26.
Zurück zum Zitat Schlessman, J.: Methodology and architectures for embedded computer vision (2012). PhD Thesis, Department of Electrical Engineering, Princeton University, in preparation Schlessman, J.: Methodology and architectures for embedded computer vision (2012). PhD Thesis, Department of Electrical Engineering, Princeton University, in preparation
27.
Zurück zum Zitat Sheng, X., Hu, Y.H., Ramanathan, P.: Distributed particle filter with gmm approximation for multiple targets localization and tracking in wireless sensor network. In: Information Processing in Sensor Networks, 2005. IPSN 2005. Fourth International Symposium on, pp. 181–188. IEEE (2005) Sheng, X., Hu, Y.H., Ramanathan, P.: Distributed particle filter with gmm approximation for multiple targets localization and tracking in wireless sensor network. In: Information Processing in Sensor Networks, 2005. IPSN 2005. Fourth International Symposium on, pp. 181–188. IEEE (2005)
29.
Zurück zum Zitat Veliapasalar, S., Schlessman, J., Chen, C.Y., Wolf, W.H., Singh, J.P.: A scalable clustered camera system for multiple object tracking. EURASIP Journal on Image and Video Processing 2008 (2008). Article ID 542808 Veliapasalar, S., Schlessman, J., Chen, C.Y., Wolf, W.H., Singh, J.P.: A scalable clustered camera system for multiple object tracking. EURASIP Journal on Image and Video Processing 2008 (2008). Article ID 542808
30.
Zurück zum Zitat Velipasalar, S., Wolf, W.H.: Frame-level temporal calibration of video sequences from unsynchronized cameras. Machine Vision and Applications Journal (DOI 10.1007/s00138-008-0122-6) (2008) Velipasalar, S., Wolf, W.H.: Frame-level temporal calibration of video sequences from unsynchronized cameras. Machine Vision and Applications Journal (DOI 10.1007/s00138-008-0122-6) (2008)
32.
Zurück zum Zitat Wolf, W.: High Performance Embedded Computing. Morgan Kaufman (2006) Wolf, W.: High Performance Embedded Computing. Morgan Kaufman (2006)
33.
Zurück zum Zitat Wolf, W.: Modern VLSI Design: IP-Based Design, fourth edn. PTR Prentice Hall (2009) Wolf, W.: Modern VLSI Design: IP-Based Design, fourth edn. PTR Prentice Hall (2009)
34.
Zurück zum Zitat Wolf, W., Ozer, B., Lv, T.: Smart cameras as embedded systems. IEEE Computer 35(9), 48–53 (2002)CrossRef Wolf, W., Ozer, B., Lv, T.: Smart cameras as embedded systems. IEEE Computer 35(9), 48–53 (2002)CrossRef
35.
Zurück zum Zitat Yu, H., van Engelen, R.: Importance sampling on Bayesian networks with deterministic causalities Yu, H., van Engelen, R.: Importance sampling on Bayesian networks with deterministic causalities
Metadaten
Titel
Distributed Smart Cameras and Distributed Computer Vision
verfasst von
Marilyn Wolf
Jason Schlessman
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-91734-4_10

Neuer Inhalt