Abstract
This paper describes an ongoing project that develops a set of generic components to help humans (semi-automatic system) in surveillance and security tasks in several scenarios. These components are based in the computational model of a set of selective and Active VISual Attention mechanisms with learning capacity (AVISA) and in the superposition of an “intelligence” layer that incorporates the knowledge of human experts in security tasks. The project described integrates the responses of these alert mechanisms in the synthesis of the three basic subtasks present in any surveillance and security activity: real-time monitoring, situation diagnosing, and action planning and control. In order to augment the diversity of environments and situations where AVISA system may be used, as well as its efficiency as support to surveillance tasks, knowledge components derived from situating cameras on mobile platforms are also developed.
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
Álvarez-Sánchez, J.R., de la Paz, F., Mira, J.: A robotics inspired method of modeling accessible open space to help blind people in the orientation and traveling tasks. In: Mira, J., Álvarez, J.R. (eds.) IWINAC 2005. LNCS, vol. 3561, pp. 405–415. Springer, Heidelberg (2005)
Bolles, B., Nevatia, R.: A hierarchical video event ontology in OWL. Final Report, ARDA Project (2004)
Bremond, F., Maillot, N., Thonnat, M., Vu, V.T.: Ontologies for video events. INRIA, Research Report, 5189 (2004)
Collins, R.T., Lipton, A.J., Kanade, T. (eds.): Special Issue on Video Surveillance. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8) (2000)
Fernández-Caballero, A., López, M.T., Mira, J., Delgado, A.E., López-Valles, J.M., Fernández, M.A.: Modelling the stereovision-correspondence-analysis task by lateral inhibition in accumulative computation problem-solving method. Expert Systems with Applications 34(4) (2007)
Haritaoglu, I., Harwood, D., Davis, L.S.: W4: Real-time surveillance of people and their activities. IEEE Transactions on Pattern Analysis and Machine Intelligence 22(8), 809–830 (2000)
López, M.T., Fernández, M.A., Fernández-Caballero, A., Mira, J., Delgado, A.E.: Dynamic visual attention model in image sequences. Image and Vision Computing 25(5), 597–613 (2007)
López, M.T., Fernández-Caballero, A., Fernández, M.A., Mira, J., Delgado, A.E.: Real-time motion detection from ALI model. In: Eleventh International Conference on Computer Aided Systems Theory, EUROCAST’07 (2007)
López, M.T., Fernández-Caballero, A., Mira, J., Delgado, A.E., Fernández, M.A.: Algorithmic lateral inhibition method in dynamic and selective visual attention task: Application to moving objects detection and labelling. Expert Systems with Applications 31(3), 570–594 (2006)
López, M.T., Fernández-Caballero, A., Fernández, M.A., Mira, J., Delgado, A.E.: Visual surveillance by dynamic visual attention method. Pattern Recognition 39(11), 2194–2211 (2006)
López, M.T., Fernández-Caballero, A., Fernández, M.A., Mira, J., Delgado, A.E.: Motion features to enhance scene segmentation in active visual attention. Pattern Recognition Letters 27(5), 469–478 (2006)
Mira, J., Delgado, A.E., Fernández-Caballero, A., Fernández, M.A.: Knowledge modelling for the motion detection task: The algorithmic lateral inhibition method. Expert Systems with Applications 27(2), 169–185 (2004)
Nagel, H.H.: Steps towards a cognitive vision system. AI Magazine 25(2), 31–50 (2004)
Neumann, B., Weiss, T.: Navigating through logic-based scene models for high-level scene interpretations. In: Crowley, J.L., Piater, J.H., Vincze, M., Paletta, L. (eds.) ICVS 2003. LNCS, vol. 2626, pp. 212–222. Springer, Heidelberg (2003)
Regazzoni, C.S., Fabri, G., Breñaza, G. (eds.): Advanced Video-Based Surveillance Systems. Kluwer Academic Publishers, Dordrecht (1999)
Rincón, M., Martínez-Cantos, J.: An annotation tool for video understanding. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds.) EUROCAST 2007. LNCS, vol. 4739, pp. 701–708. Springer, Heidelberg (2007)
Rincón, M., Bachiller, M., Mira, J.: Knowledge modeling for the image understanding task as a design task. Expert Systems with Applications 29(1), 207–217 (2005)
Robertson, N., Reid, I.: A general method for human activity recognition in video. Computer Vision and Image Understanding 104, 232–248 (2006)
Taboada, M., Des, J., Martínez, D., Mira, J.: Aligning reference terminologies and knowledge bases in the health care domain. In: Mira, J., Álvarez, J.R. (eds.) IWINAC 2005. LNCS, vol. 3561, pp. 437–446. Springer, Heidelberg (2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Mira, J., Martínez, R., Rincón, M., Bachiller, M., Fernández-Caballero, A. (2007). Towards a Semi-automatic Situation Diagnosis System in Surveillance Tasks. In: Mira, J., Álvarez, J.R. (eds) Nature Inspired Problem-Solving Methods in Knowledge Engineering. IWINAC 2007. Lecture Notes in Computer Science, vol 4528. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73055-2_11
Download citation
DOI: https://doi.org/10.1007/978-3-540-73055-2_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73054-5
Online ISBN: 978-3-540-73055-2
eBook Packages: Computer ScienceComputer Science (R0)