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
Distance Measurement Contact and non-contact approaches. Image-based measuring approaches. Speed and Motion Detection Methods for detecting human motion include background subtraction , template matching , optical flow  and temporal differencing . Related Works
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
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''
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%.
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
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