Abstract
The video streams available in a surveillance system distributed on the wide area may be accompanied by metadata are obtained as a result of video processing. Many algorithms applied to surveillance systems, e.g. event detection or object tracking, are strictly connected with localization of the object and reconstruction of its route. Drawing related information on a plan of a building or on a map of the city can facilitate the perception of events. Methods of augmenting cartographic data are proposed in this chapter. Making it possible to merge and to present a large amount of useful data on a single screen of surveillance.
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
Allen, R., Mcgeorge, P., Pearson, D., Milne, A.B.: Attention and expertise in multiple target tracking. Applied Cognitive Psychology (2004)
Arthur, F., Kramer, S.H.: Splitting the beam: Distribution of attention over noncontiguous regions of the visual field. Psychological Science (1995)
Cai, Y., Chen, W., Huang, K., Tan, T.: Continuously Tracking Objects Across Multiple Widely Separated Cameras. In: Yagi, Y., Kang, S.B., Kweon, I.S., Zha, H. (eds.) ACCV 2007, Part I. LNCS, vol. 4843, pp. 843–852. Springer, Heidelberg (2007)
Cavanagh, P., Alvarez, G.: Tracking multiple targets with multifocal attention. Trends in Cognitive Sciences (2005)
Colombo, A., Orwell, J., Velastin, S.: Colour constancy techniques for re-recognition of pedestrians from multiple surveillance cameras. In: Workshop on Multi-camera and Multi-modal Sensor Fusion Algorithms and Applications (2008)
Dalka, P., Czyżewski, A.: Vehicle Classification Based on Soft Computing Algorithms. In: Szczuka, M., Kryszkiewicz, M., Ramanna, S., Jensen, R., Hu, Q. (eds.) RSCTC 2010. LNCS, vol. 6086, pp. 70–79. Springer, Heidelberg (2010)
Dalka, P., Szwoch, G., Szczuko, P., Czyżewski, A.: Video content analysis in the urban area telemonitoring system. In: Multimedia Services in Inteligent Environments. Springer, Heidelberg (2010)
Farrell, R., Davis, L.S.: Decentralized discovery of camera network topology. IEEE (2008)
Gilbert, A., Bowden, R.: Tracking objects across cameras by incrementally learning inter-camera colour calibration and patterns of activity. In: 9th European Conference on Computer Vision, ICCV 2006 (2006)
Javed, O.: Appearance modeling for tracking in multiple non-overlapping cameras. In: IEEE International Conference on Computer Vision and Pattern Recognition, pp. 26–33 (2005)
Nama, Y., Ryu, J., Choi, Y., Cho, W.: Learning spatio-temporal topology of a multi-camera network by tracking multiple people. World Academy of Science - Engieneering and Technology (2007)
Niu, C., Grimson, E.: Recovering non-overlapping network topology using far-field vehicle tracking data. In: The 18th International Conference on Pattern Recognition, ICPR 2006 (2006)
Szwoch, G.: Performance Evaluation of the Parallel Codebook Algorithm for Background Subtraction in Video Stream. In: Dziech, A., Czyżewski, A. (eds.) MCSS 2011. CCIS, vol. 149, pp. 149–157. Springer, Heidelberg (2011)
Szwoch, G., Dalka, P.: Automatic detection of abandoned luggage employing a dual camera system. In: MCSS 2010: IEEE International Conference on Multimedia Communications, Services and Security (2010)
Szwoch, G., Dalka, P., Czyżewski, A.: Objects classification based on their physical sizes for detection of events in camera images. In: NTAV/SPA 2008 Signal Processing: Algorithms, Architectures, Arrangements, and Applications; New Trends in Audio and Video, pp. 15–20 (2008)
Szwoch, G., Dalka, P., Czyżewski, A.: Resolving conflicts in object tracking for automatic detection of events in video. Elektronika (2011)
Tieu, K., Dalley, G., Grimson, W.E.L.: Inference of non-overlapping camera network topology by measuring statistical dependence. In: Proceedings of the Tenth IEEE International Conference on Computer Vision, ICCV 2005 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lisowski, K., Czyżewski, A. (2013). Cartographic Representation of Route Reconstruction Results in Video Surveillance System. In: Zgrzywa, A., Choroś, K., Siemiński, A. (eds) Multimedia and Internet Systems: Theory and Practice. Advances in Intelligent Systems and Computing, vol 183. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32335-5_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-32335-5_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32334-8
Online ISBN: 978-3-642-32335-5
eBook Packages: EngineeringEngineering (R0)