Abstract
In this paper, we propose a real-time people counting system with a single camera for security inside the building. The camera is hung from the ceiling of the door so that the image data of the passing people are not fully overlapped. The implemented system recognizes people movement along various directions. To track people even when their images are partially overlapped, the proposed system analyzes the captured image and estimates important feature information. Then each bounding box enclosing each person in the tracking region are tracked. The convex hull of each individual obtained by the proposed algorithm provides more accurate tracking information. Through extensive tests in various environments, the proposed system exhibits the correct people counting results of over 96%.
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References
Segen, J., Pingali, S.: A camera-based system for tracking people in real time. In: IEEE Proc. Of Int. Conf. Pattern Recognition., vol. 3, pp. 63–67 (1996)
Masoud, O., Papanikolopoulos, N.P.: A novel method for tracking and counting pedestrians in realtime using a single camera. IEEE Trans. on Vehicular Tech. 50, 1267–1278 (2001)
Rossi, M., Bozzoli, A.: Tracking and counting moving people. In: IEEE Proc. of Int. Conf. Image Processing., vol. 3, pp. 212–216 (1994)
Terada, K., Yoshida, D., Oe, S., Yamaguchi, J.: A counting method of the number of passing people using a stereo camera. In: IEEE Proc. of Industrial Electronics Conf., vol. 3, pp. 1318–1323 (1999)
Baumberg, A., Hogg, D.: Learning flexible models from image sequences. In: Proc. Eur. Conf. Computer Vision., vol. 1, pp. 229–238 (1994)
Smith, C., Richards, C., Brandt, S.A., Papanikolopoulos, N.P.: Visual tracking for intelligent vehicle-highway systems. IEEE Trans. on Veh. Technol. 45, 744–759 (1996)
Cai, Q., Aggarwal, J.K.: Tracking human motion using multiple cameras. In: Proc. 13th Int. Conf. Pattern Recognition, pp. 68–72 (1996)
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Kim, JW., Choi, KS., Choi, BD., Lee, JY., Ko, SJ. (2003). Real-Time System for Counting the Number of Passing People Using a Single Camera. In: Michaelis, B., Krell, G. (eds) Pattern Recognition. DAGM 2003. Lecture Notes in Computer Science, vol 2781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45243-0_60
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DOI: https://doi.org/10.1007/978-3-540-45243-0_60
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