Abstract
Moving human head detection is the basis of automatic passenger counting system and the speed and the detection accuracy of existing algorithms need to be improved. This paper puts forward a fast and effective algorithm for detecting moving human head. At first, the background is updated by block symmetric difference, then, the moving objects are extracted by culminating symmetric difference and background subtraction, finally, the human head contours are detected using the random Hough transform based on gradient. Experimental results show that this algorithm can detect moving human heads against illumination level changes and extraneous motion efficiently in automatic passenger counting system.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Yu, S.-S., Chen, X.-P., Sun, W.-P., Xie, D.-P.: A robust method for detecting and counting people. In: Proceedings of International Conference on Audio, Language and Image Processing (2008)
Damien, L., Alaya, C.F., Yngve, H.J., Pierre, G., Romain, P.-C.: Real-time people counting system using a single video camera. The International Society for Optical Engineering (2008)
Sun, D.-H., Zhao, M.: Automatic Passenger Counting Based on Multi_objects Recognition Using Dynamic Images. The International Society for Optical Engineering (2005)
Humayun, S., Kamran, K., Ahmed, Q.W.: Using modified mixture of gaussians for background modeling in video surveillance. In: Proceedings of 2nd International Conference on Advances in Space Technologies - Space in the Service of Mankind (2008)
Tang, Z., Miao, Z., Wan, Y.: Background subtraction using running Gaussian average and frame difference. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2007)
Hou, Z.-Q., Zhang, Q.: Effective background reconstruction algorithm in image sequence analysis. Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument (2008)
Deng, X., Bu, J., Yang, Z., Chen, C., Liu, Y.: A block-based background model for video surveillance. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (2008)
Zhao, Y., Wang, Z.: Detecting moving objects by background difference and frame-difference. The International Society for Optical Engineering (2007)
Lu, H., Zhang, J., Zhang, M.: Head Detecting and Tracking Based on Hough Transform. Journal of System Simulation (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag GmbH Berlin Heidelberg
About this chapter
Cite this chapter
Liu, X., Tian, S., Jiang, J., Shen, J. (2012). Moving Human Head Detection for Automatic Passenger Counting System. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_22
Download citation
DOI: https://doi.org/10.1007/978-3-642-25789-6_22
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25788-9
Online ISBN: 978-3-642-25789-6
eBook Packages: EngineeringEngineering (R0)