Abstract
This paper presents a method for tracking and identifying pedestrians from video images taken by a fixed camera at an entrance. A pedestrian may be totally or partially occluded in a scene for some period of time. The proposed approach uses the appearance model for the identification of pedestrians and the weighted temporal texture features. We compared the proposed method with other related methods using color and shape features, and analyzed the features’ stability. Experimental results with various real video data revealed that real time pedestrian tracking and recognition is possible with increased stability over 5–15% even under occasional occlusions in video surveillance applications.
To whom all correspondence should be addressed. This research was supported by Creative Research Initiatives of the Ministry of Science and Technology, Korea.
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
Collins, T. et al.: A System for Video Surveillance and Monitoring:VSAM Finial Report. Technical report CMU-RI-TR-00-12, Robotics Institute, Carnegie Mellon University (May 2000)
Roh, H.-K., Lee, S.-W.: Multiple People Tracking Using an Appearance Model Based on Temporal Color. Proc. of 1st IEEE Int’l Workshop on Biologically Motivated Computer Vision, Seoul, Korea (May 2000) 369–378
Haritaoglu, I., Harwood, D., Davis, L. S.: W4: Who? When? Where? What? A Real Time System for Detecting and Tracking People. Proc. of Int’l Conf. on Face and Gesture Recognition, Nara, Japan (April 1998) 222–227
Darrell, T. et al.: Integrated Person Tracking Using Stereo, Color, and Pattern Detection. Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Santa Barbera, California, (1998) 601–608
Intille, S. S., Davis, J.W., Bobick, A. F.: Real-Time Closed-World Tracking. Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Puerto Rico, (Jun. 1997) 697–703
Baoxin, L., Chellappa, R.: A Generic Approach to Simultaneous Tracking and Verification in video. IEEE Trans. on Image Processing, Vol. 11, No. 5, (2002) 530–544
Xi, D., Lee, S.-W.: Face Detection and Facial Feature Extraction Using Support Vector Machines. Proc. of 16th Int’l Conf. on Pattern Recognition, Quebec City, Canada, (August 2002) 209–212
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yang, HD., Sin, BK., Lee, SW. (2003). Automatic Pedestrian Detection and Tracking for Real-Time Video Surveillance. In: Kittler, J., Nixon, M.S. (eds) Audio- and Video-Based Biometric Person Authentication. AVBPA 2003. Lecture Notes in Computer Science, vol 2688. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44887-X_29
Download citation
DOI: https://doi.org/10.1007/3-540-44887-X_29
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-40302-9
Online ISBN: 978-3-540-44887-7
eBook Packages: Springer Book Archive