Abstract
For video monitor system, wandering trajectory detection of moving targets is one of key problems needed to be solved, as it is an effective method to discover wandering behavior and prevent the potential harmful behavior. In view of the weakness of the existing algorithms,a method for wandering trajectory detection based on angle is proposed in this paper. In this method, wandering trajectory curves are divided into three kinds, which are closed curve, spiral curve and S curve. The occurring of wandering can be analyzed and judged through the angle of trajectory changing. The experimental results demonstrate that the method can detect the wandering trajectory accurately in video sequences, without any training samples. So, the method can improve the real-time performance of the monitor system.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Collins, R., et al.: A system for video surveillance and monitoring: VSAM final report. Carnegie Mellon University: Technical Report CMU (2000)
Remagnino, P., Tan, T., Baker, K.: Multi-agent visual surveillance of dynamic scenes. Image and Vision Computing 16(8), 529–532 (1998)
Collision, P.A.: The application of camera based traffic monitoring systems. In: IEEE Seminar on CCTV and Road Surveillance, pp. 8/1–8/6 (1999)
Remagnino, P., Tan, T., Baker, K.: Agent orientated annotation in model based visual surveillance. In: Proc IEEE International Conference on Computer Vision, Bombay, India, pp. 857–862 (1998)
Zhang, Y., Liu, Z.: Irregular behavior recognition based on treading track. In: Proceedings of International Conference on Wavelet Analysis and Pattern Recognition, Beijing, China, vol. 3, pp. 1322–1326 (2007)
Qu, L.: Research on activity analysis and semantic retrieval in distributed intelligent visual surveillance system. The PhD thesis of Zhejiang University, 7 (2008)
McKenna, S., et al.: Tracking groups of people. Computer Vision and Image Understanding 80(1), 42–56 (2000)
Haritaoglu, I., Harwood, D., Davis, L.: W4: real-time surveillance of people and their activities. IEEE Trans. Pattern Analysis and Machine Intelligence 22(8), 809–830 (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Huan, R., Wang, Z., Tang, X., Pan, Y. (2011). A Method for Wandering Trajectory Detection in Video Monitor. In: Jeschke, S., Liu, H., Schilberg, D. (eds) Intelligent Robotics and Applications. ICIRA 2011. Lecture Notes in Computer Science(), vol 7102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25489-5_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-25489-5_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25488-8
Online ISBN: 978-3-642-25489-5
eBook Packages: Computer ScienceComputer Science (R0)