A New Approach for Counting Passersby Utilizing Space-Time Images
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A New Approach for Counting Passersby Utilizing Space-Time Images

Authors: A. Elmarhomy, S. Karungaru, K. Terada

Abstract:

Understanding the number of people and the flow of the persons is useful for efficient promotion of the institution managements and company-s sales improvements. This paper introduces an automated method for counting passerby using virtualvertical measurement lines. The process of recognizing a passerby is carried out using an image sequence obtained from the USB camera. Space-time image is representing the human regions which are treated using the segmentation process. To handle the problem of mismatching, different color space are used to perform the template matching which chose automatically the best matching to determine passerby direction and speed. A relation between passerby speed and the human-pixel area is used to distinguish one or two passersby. In the experiment, the camera is fixed at the entrance door of the hall in a side viewing position. Finally, experimental results verify the effectiveness of the presented method by correctly detecting and successfully counting them in order to direction with accuracy of 97%.

Keywords: counting passersby, virtual-vertical measurement line, passerby speed, space-time image

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1072319

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References:


[1] K. Terada and K. Atsuta, Automatic Generation of Passerby Record Images Using Internet Camera, Electronics and Communications in Japan, Vol. 92, No. 11, 2009.
[2] Byrne, John A.; Gerdes, Lindsey (November 28, 2005). "The Man Who Invented Management". BusinessWeek.. Retrieved November 2, 2009.
[3] NPA White Paper: http://www.npa.gov.jp/hakusho.
[4] K. Terada, D. Yoshida, S. Oe and J. Yamaguchi. A counting method of the number of passing people using a stereo camera, IEEE Proc. of Industrial Electronics Conf., Vol. 3, pp.1318-1323, 1999.
[5] K. Hashimoto, K. Morinaka, N. Yoshiike, C. Kawaguchi, S. Matsueda, People count system using multi-sensing application, 1997 International conference on solid state sensors and actuators, 0- 7803-3829-4,1997.
[6] K. Terada, D. Yoshida, S. Oe, and J. Yamaguchi, A method of counting the passing people by using the stereo images, International conference on image processing, 0-7803-5467-2,1999.
[7] K. Terada and K. Matsubara, A Method for Counting Multidirection Passerby by Using Circular Space-time Image, IEEJ Trans.EIS, Vol. 129, No. 6, 2009.
[8] T. Matsuyama, T. Wada, H. Habe and K. Tanahashi, Background subtraction under varying illumination. Trans, IEICE 2001; J84-D-II: 2201-2211.
[9] G. Linda Shapiro and C. George Stockman (2001): "Computer Vision", pp 279-325, New Jersey, Prentice-Hall.
[10] Brunelli R., 2009. Template Matching Techniques in Computer Vision: Theory and Practice, Wiley.
[11] John Watkinson (2008). The art of digital video. Focal Press. p. 272
[12] Engineering Guideline EG 28, "Annotated Glossary of Essential Terms for Electronic Production," SMPTE, 1993.
[13] Buchsbaum, Walter H. Color TV Servicing, third edition. Englewood Cliffs, NJ: Prentice Hall, 1975.
[14] Edwin Paul J. Tozer (2004). Broadcast Engineer's Reference Book.