Automatic passenger counting based on multi-objects recognition using dynamic images

Dihua Sun; Min Zhao

doi:10.1117/12.664624

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2 May 2006 Automatic passenger counting based on multi-objects recognition using dynamic images

Dihua Sun, Min Zhao

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Proceedings Volume 6042, ICMIT 2005: Control Systems and Robotics; 60421O (2006) https://doi.org/10.1117/12.664624
Event: ICMIT 2005: Merchatronics, MEMS, and Smart Materials, 2005, Chongqing, China

Abstract

Based on image sequences analysis, a new automatic counting method of passengers getting on and off a bus is proposed. In particular, it addresses the problem of counting when bus is crowded and illumination changes. By extracting and tracking passengers' heads appearing in image sequences and their moving direction, passengers boarding and alighting a bus are counted respectively. The multi-objects recognition and tracking is the key task of passenger counting. After foreground is separated from background subtraction, true objects are extracted through analysis on connected binary foreground image and their features are also extracted. Then, block matching algorithm is presented for the tracking multi-objects represented by regions and moving direction is judged according the result of matching. The experiment results show that the proposed method can realize counting passenger getting on and off a bus in high density correctly and improve the accuracy of counting.

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Dihua Sun and Min Zhao "Automatic passenger counting based on multi-objects recognition using dynamic images", Proc. SPIE 6042, ICMIT 2005: Control Systems and Robotics, 60421O (2 May 2006); https://doi.org/10.1117/12.664624

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