Abstract
In transport security context, real-time detection of potentially dangerous situations is very important. We need to be able to identify pedestrians like intruders in forbidden areas, as quickly as possible. The signatures must be precise in order to identify persons, and also compact to be rapidely transmitted through a network. We propose in this paper a new signature which is based on a Principal Component Analysis (PCA), applied to color histograms.
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
M. J. Swain and D. H. Ballard, Color indexing, International Journal of Computer Vision, Vol. 7(1), pp. 11–32, 1991.
A. Divakaran, R. Radhakrishnan and K. Peker, Motion Activity-based Extraction of Key-Frames from Video Shots, International Conference on Image Processing (ICIP 2002), Vol. 1, pp. 932–935, Rochester NY, September 2002.
T. Lin, C. W. Ngo, H. J. Zhang and Q. Y. Shi, Integrating Color and Spatial Features for Content-based Video Retrieval, International Conference on Image Processing (ICIP 2001), Vol. 3, pp. 592–595, Thessalonique, Greece, October 2001.
G. Saporta, Probabilités, Analyse de Donn’es et Statistique, TECHNIP, Paris, 1990.
J. P. Cocquerez and S. Philipp, Analyse d'images: filtrage et segmentation, MASSON, Paris, 1995.
D. Muselet, L. Macaire, L. Khoudour and J. G. Postaire, Color invariant for person images indexing, European Conference on Colour in Graphics, Image and Vision (CGIV 2002), pp. 236–240, Poitiers, France, April 2002.
S. Z. Li, K. L. Chan and C. Wang, Performance Evaluation of the Nearest Feature Line Method in Image Classification and Retrieval, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22(11), pp. 1335–1339, 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer
About this chapter
Cite this chapter
Leclercq, T., Khoudour, L., Macaire, L., Postaire, JG., Flancquart, A. (2006). COMPACT COLOR VIDEO SIGNATURE BY PRINCIPAL COMPONENT ANALYSIS. In: Wojciechowski, K., Smolka, B., Palus, H., Kozera, R., Skarbek, W., Noakes, L. (eds) Computer Vision and Graphics. Computational Imaging and Vision, vol 32. Springer, Dordrecht. https://doi.org/10.1007/1-4020-4179-9_118
Download citation
DOI: https://doi.org/10.1007/1-4020-4179-9_118
Publisher Name: Springer, Dordrecht
Print ISBN: 978-1-4020-4178-5
Online ISBN: 978-1-4020-4179-2
eBook Packages: Computer ScienceComputer Science (R0)