A POMDP-based Camera Selection Method

Li Qian, Sun Zheng-Xing, Chen Song-Le


This paper addresses the problem of camera selection in multi-camera systems and proposes a novel selection method based on a partially observable Markov decision process model (POMDP). And an innovative evaluation function identifies the most informative of several multi-view video streams by extracting and scoring features related to global motion, attributes of moving objects, and special events such as the appearance of new objects. The experiments show that these proposed visual evaluation criteria successfully measure changes in scenes and our camera selection method effectively reduces camera switching.


  1. Soro S, Heinzelman W. 2009. A survey of visual sensor networks. Advances in Multimedia.
  2. Li Y, Bhanu B. 2009. Utility-Based Camera Assignment in a Video Network: A Game Theoretic Framework. IEEE Sensors Journal 11(3).
  3. Daniyal F., Taj M., Cavallaro 2010. A Content and taskbased view selection from multiple video streams. Multimedia Tools and Applications ,46.
  4. Bimbo A. D., Pernici F. 2006. Towards on-line saccade planning for high-resolution image sensing. Pattern Recognition Letters, 27(15).
  5. Tessens L., Morbee M., Huang Lee, Philips W., Aghajan H. 2008. Principal view determination for camera selection in distributed smart camera networks. In Second ACM/IEEE International Conference on Distributed Smart Cameras.
  6. Littman M. 2009. A tutorial on partially observable markov decision processes. Journal of Mathematical Psychology, 53(3).
  7. Spaan M, Vlassis N. 2005. Perseus: Randomized pointbased value iteration for POMDPs. Journal of Artificial Intelligence Research, vol 24.
  8. Zhang S., Ding H., and Zhang W. 2011. Background Modeling and Object Detection Based on Two-Model. Journal of Computer Research and Development,48(11).
  9. Hu W. M., Hu M., Zhou X., et al. 2006. Principal axisbase correspondence between multiple cameras for people tracking. IEEE Transactions on Pattern Analysis and Machine Intelligence, 28(4).
  10. Laptev I. 2005. On space-time interest points. International Journal of Computer Vision. Vol 64.
  11. Fleuret F., Berclaz J., Lengane R., Fua P. 2008. Multicamera people tracking with a probabilistic occupancy map. IEEE Transaction on Pattern Analysis and Machine Intelligence, vol 30(2).
  12. Leonid S., Alexandru O., Michael J. 2010. HUMANEVA: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion. Journal of Computer Vision.

Paper Citation

in Harvard Style

Qian L., Zheng-Xing S. and Song-Le C. (2013). A POMDP-based Camera Selection Method . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 746-751. DOI: 10.5220/0004228907460751

in Bibtex Style

author={Li Qian and Sun Zheng-Xing and Chen Song-Le},
title={A POMDP-based Camera Selection Method },
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)},

in EndNote Style

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - A POMDP-based Camera Selection Method
SN - 978-989-8565-47-1
AU - Qian L.
AU - Zheng-Xing S.
AU - Song-Le C.
PY - 2013
SP - 746
EP - 751
DO - 10.5220/0004228907460751