Center for Secure Cyberspace presentation on gleaning distance information from video cameras.

1. Movement Speed and Camera Distance Measurement for Human Motion Detection based on Interocular Distance KhandakerAbirRahman Kiran S. Balagani Vir V. Phoha Chuka Okoye 15 June 2009

3. Related Works

4. Contributions

5. Proposed System

6. Experiments and Results

7. Conclusions

8. Future DirectionsOrganization

9. To locate eye position using CCD camera. To calculate human interocular distance (the distance between eyes). To measure person-to-camera distance. To measure movement speed in real-time. Objectives

10. Distance Measurement Contact and non-contact approaches. Image-based measuring approaches. Speed and Motion Detection Methods for detecting human motion include background subtraction [1], template matching [2], optical flow [3] and temporal differencing [4]. Related Works

11. This system measures the person distance by simply analyzing the interocular distance without using extra CCD cameras, flash lights, laser pointers, sound reflection tools etc. This system also measures the movement speed of a person based on the interocular distance. Contributions

12. Proposed System

13. Eye Detection Block Diagram

14. InterocularDistance Measurement

15. Person-to-Camera Distance Vs Interocular Distance (b) Height ranging between 5' 4'' and 5' 7' (a)Height over 5'8'' (c) Height ranging between 5' and 5' 3'' (d) Height ranging bellow 5'

16. Formulation of Person-to-Camera Distance Measurement Equation

17. Person-to-Camera Distance Measurement

18. Person-to-Camera Distance Measurement (Contd.)

19. The movement speed can be measured by the following equation, where is the speed at , at . Movement Speed Measurement

20. Experiments & Results

21. Accuracy of the Distance Measuring System (b) Height ranging between 5' 4'' and 5' 7' (a)Height over 5'8'' (d) Height ranging bellow 5' (c) Height ranging between 5' and 5' 3''

22. Conclusions In this system, a simple image-based person to camera distance and human movement speed measuring system is proposed. The proposed system is simple, cost effective and efficient for real-time implementation for human motion detection. The overall accuracy of the person-to-camera distance measurement system is 94.11%.

23. Human motion detection for video surveillance. Accuracy measurement of the human motion detection and movement speed measurement. Consideration of side face views and face rotation for improving the accuracy of measurement. Human height and weight which influences the interocular distance needs to be addressed. 3-Dimensional interocular distance consideration for more robustness. Future Directions

24. Video Clip of the System

25. References [1] S. McKenna, S. Jabri, and Z. Duric, "Tracking groups of people, Computer Vision and Image Understanding," vol. 80, pp. 42-56, 2000. [2] A. Lipton, H. Fujiyoshi, and R. Patil, "Moving target classification and tracking from real-time video," In Proc. IEEE Workshop on Application of Computer Vision, 1998. [3] D. M. Gavrila, "The visual analysis of human movement: A survey, Computer Vision and Image Understanding," vol. 73, pp. 82-98, 1999. [4] B. Jung and S. Sukhatme, "Detecting Moving Objects using a Single Camera on a Mobile Robot in an Outdoor Environment," The 8th Conference on Intelligent Autonomous Systems, pp. 980-987, 2004.

26. Thank You