Robotic Vision for Hospital Inspection


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Observation system is implementing an automatic visual for observation that has recently got a considerable interest to researchers. Nowadays, technology has reached a stage where mounting video camera is cheap and friendly-user tools causing a widespread usage of cameras in public or private areas. Finding available human resources to sit and watch the imagery is too expensive for most organizations to afford the cost of human operators. Moreover, observation process by operators is error prone due to fatigue, negligence and lack of ubiquitous surveillance. Therefore, it is important to develop an accurate and efficient automatic video analysis system for monitoring patient activity that will create good opportunities by saving the cost of human resource employment because vision system can perform observation process for 24 hours per day. The system will allow us to detect unusual events in the scene and warrant the attention of whomever in charge to take preventive actions. The purpose of visual observation is not to replace human eyes with camera, but to accomplish the entire observation task as automatic as possible



Edited by:

Dashnor Hoxha, Francisco E. Rivera and Ian McAndrew




S. H. Jamaludin et al., "Robotic Vision for Hospital Inspection", Advanced Materials Research, Vol. 1016, pp. 716-720, 2014

Online since:

August 2014




* - Corresponding Author

[1] Tesfay Meressi, (1998). Modeling and Control of a Three Dimensional Gantry Robot, Proceedings of the 37th IEEE Conference on Decision & Control Tampa, Florida USA, pp.1514-1515.

[2] Davies, E. R, (1986). Engineering trade-offs in the design of a real-time system for the visual inspection of small products, UK Research in Advanced Manufacture, Mechanical Engineering Publications, pp.15-22.

[3] Xu, L., Landabaso, J. L. and Lei, B. (2004). Segmentation and tracking of multiple moving objects for intelligent video analysis, Vol 22, No 3, BT Technology Journal.


[4] Hu, W., Tan, T., Wang, L. and Maybank, S. (2004). A survey on visual surveillance of object motion and behaviors, Part C, Volume 34, Issue 3, Systems, Man and Cybernetics.

[5] Lee, Dai Gil (2005). Axiomatic Design and Fabrication of Composite Structures, ISBN 0195178777, Oxford University Press.

[6] Jeff Martin, Jon William, Ken Gracey, Aristides Alvarez and Stephanie Lindasy. (1994-2005). Basic Stamp Syntax and Reference Manual, Version 2. 2, California USA.

[7] W. Bolton, (2003). Mechatronic, Electronic Control System in Mechanical and Electrical Engineering, Third Edition, Pearson Prentice Hall.

[8] John Lovine, (2004). PIC Robotics A Beginner 's Guide to Robotic Projects Using the PICmicro, McGraw-Hill Companies, Inc.

[9] Collins, R. T.; Lipton, A. J.; Kanade, T.; Fujiyoshi, H.; Duggins, D.; Tsin, Y.; Tolliver, D.; Enomoto, N. and Hasegawa, O.; A system for video surveillance and monitoring, Technical Report CMU-RI-TR-00-12, CMU, (2000).

[10] P. Viola and M.J. Jones, Robust real time face detection, Int. J. Comput. Vision, vol. 57, no. 2, pp.137-154, (2004).

[11] R. Lien hart and J. Maydt, An extended set of haar-like features for rapid object detection, , in Proceedings of the 2002 International Conference on Image Processing (P. of the 2002 International Conference on Image Processing, ed), vol. 1, pp.900-903, (2002).