Abstract
The present contribution presents a novel stand-alone surveillance system based on detection and tracking of moving objects using CMOS imagers. The system fuses the acquisition and processing task, so that a flexible, low-cost, and highly efficient image processing system for home and industrial applications can be realised. The surveillance system consists of a CMOS camera mounted on a multi-functional module (MfM) using a PCMCIA 10 Mbit Ethernet card. The acquired images can be transmitted directly via Internet protocol to the requesting workstations. The surveillance camera system is capable of suppressing extraneous illumination effects caused for example by day light variations. The detection of moving objects in the image sequence is carried out using a novel adaptive image processing algorithm. The required parameters are adapted automatically to the observed scene. The apparent shapes of independently moving objects are extracted with high accuracy even for objects that are stationary for certain time periods. The approach also takes into account slowly changing illuminations, and does not detect them as moving objects. It works very well with severely image sequences corrupted by noise. The presented simulation results highlight the performance of the proposed method using synthetic and real video data.
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
G.W. Donohoe, D.R. Hush, and N. Ahmed. Change detection for target detection and classification in video sequences. Proc. ICASSP 1988, 2:1084–1087, 1988.
B.K.P. Horn. Robot Vision. The MIT Press, McGraw-Hill Book Company, 1986.
B.K.P. Horn and B. G. Schunk. Determining optical flow. Artificial Intelligence, 17:185–204, 1981.
T. S. Huang, editor. Image Sequence Analysis. Spinger-Verlag, Berlin Heidelberg New York, 1981.
J. Huppertz, R. Hauschild, B. J. Hosticka, T. Kneip, S. Müller, and M. Schwarz. Fast cmos imaging with high dynamic range. In Charge-Coupled Devices & Advanced Image Sensors, pages R7-1–R7-4, Bruges (Belgium), 1997. IEEE.
J.R. Jain and A.K. Jain. Displacement measurement and its application in interframe image coding. IEEE Trans. Commun., COM-29:1799–1808, 1981.
K.-P. Karmann and A. von Brandt. Detection and tracking of moving objects by adaptive background extraction. Proceedings of the 6th Scand. Conf. on Image Analysis, pages 1051–1058, 1988.
K. Konstantinides and J. Rasure. The khoros software development environment for image and signal processing. IEEE Transactions on Image Processing, 3(3):243–252, May 1994.
F. L. Lewis. Optimal Estimation. John Wiley & Sons, New York, 1986.
G. Meynants, B. Dierickx, D. Scheffer, and J. Vlummens. A wide dynamic range cmos stereo camera. In D. E. Ricken and W. Gessner, editors, Advanced Microsystems for Automotive Applications 98, pages 173–181, Berlin Heidelberg New York, 1998. Springer-Verlag.
N. Otsu. A threshold selection method from gray-level histograms. IEEE Trans. Systems Man Cybernet., SMC-9(1):62–66, January1979.
S.-B. Park, A. Teuner, and B. J. Hosticka. A cmos photo sensor array based motion detection system. 1998 International Conference on Image Processing, October1998. IEEE Signal Processing Society.
S.-B. Park, A. Teuner, B.J. Hosticka, and G. Triftshäuser. An interior compartment protection system based on motion detection using cmos imagers. 1998 IEEE International Conference on Intelligent Vehicles, October 1998.
C. Ridder, O. Munkelt, and H. Kirchner. Adaptive background estimation and foreground detection using kalman-filtering. Proc. ICRAM’95, pages 193–199, 1995.
P. K. Sahoo, S. Soltani, A. K. C. Wong, and Y. Chen. A survey of thresholding techniques. Computer Vision, Graphics, and Image Processing, 41:233–260, 1988.
M. Schanz, W. Brockherde, R. Hauschild, B. J. Hosticka, and M. Schwarz. Smart cmos image sensor arrays. IEEE Transactions on Electron Devices, 44(10):1699–1705, October1997.
J. Schriek. Interior compartment protection as an example of a microsystem. In International Conference on Advanced Microsystems for Automotive Applications, Berlin, December 1996.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Santos Conde, J.E., Teuner, A., Park, S.B., Hosticka, B.J. (1999). Surveillance System Based on Detection and Tracking of Moving Objects Using CMOS Imagers. In: Computer Vision Systems. ICVS 1999. Lecture Notes in Computer Science, vol 1542. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49256-9_26
Download citation
DOI: https://doi.org/10.1007/3-540-49256-9_26
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65459-9
Online ISBN: 978-3-540-49256-6
eBook Packages: Springer Book Archive