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2014 | OriginalPaper | Chapter

A DTCNN Approach on Video Analysis: Dynamic and Static Object Segmentation

Authors : Mario I. Chacon-Murguia, David Urias-Zavala

Published in: Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Publisher: Springer International Publishing

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Abstract

This paper presents a DTCNN model for dynamic and static object segmentation in videos. The proposed method involves three main stages in the dynamic stage; dynamic background registration, dynamic objects detection and object segmentation improvement. Two DTCNNs are used, one to achieved object detection and other for morphologic operations in order to improve object segmentation. The static segmentation stage is composed of a clustering module and a DTCNN module. The clustering module is in charge of detecting the possible regions and the DTCNN generate the regions. Visual and quantitative results indicate acceptable results compared with existing methods.

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Literature
1.
Chen, Y.: Study of moving object detection in intelligent video surveillance system. In: Proceedings of International Conference on Computer Engineering and Technology, pp. V7–62–V7–66 (2010)
2.
Faro, A., Giordano, D., Spampinato, C.: Evaluation of the traffic parameters in a metropolitan area by fusing visual perceptions and CNN processing of webcam images. IEEE Trans. Neural Netw. 19(6), pp. 1108–1129 (2008)CrossRef
3.
Su, MC., A., Hsiung, C.Y., Huang, D.Y.: A simple approach to implementing a system for monitoring driver inattention. In: Proceedings of Systems, Man and Cybernetics, 2006, SMC ‘06, vol. 1, pp. 429–433, Oct 2006
4.
Li, P., Ai, H., Li, Y., Huang, C.: Video parsing based on head tracking and face recognition. In: Proceedings of the 6th ACM International Conference on Image and Video retrieval, pp. 57–64 (2007)
5.
Chen, L., Zhu, P., Zhu, G.: Moving objects detection based on background subtraction combined with consecutive frames subtraction. In: Proceedings of International Conference on Future Information Technology and Management Engineering, pp. 545–548, Dec 2010
6.
Liu, Y., Bin, Z.: The improved moving object detection and shadow removing algorithms for video surveillance. In: Proceedings of International Conference on Computational Intelligence and Software Engineering, pp. 1–5, Dec 2010
7.
Rodriguez, D., Vilarino, D., Pardo, X.: CNN implementation of a moving object segmentation approach for real-time video surveillance. In: Proceedings of 11th International Workshop on Cellular Neural Network and their Application, pp. 129–134, July 2008
8.
Kang, J.: Image thresholding using cellular neural networks combined with fuzzy c-means. In: Proceeding of 2nd International Symposium on Intelligent Information Technology Application, pp. 319–322, Dec 2008
9.
Babatunde, H., Folorunso, O., Akinwale, A.: A cellular neural-based model for edge detection. J. Inform. Comput. Sci. 5(1), pp. 3–10 (2010)
10.
Ketout, H., Gu, J., Horne, G.: MVN_CNN and FCNN for FCNN for endocardial edge detection. In: Proceedings of 1st Middle East Conference on Biomedical Engineering, pp. 208–212, Feb 2011
11.
Arena, P., De Fiore, S., Fortuna, L., Lombardo, D., Patane, L.: Implementation of CNN-based perceptual framework on a roving robot. In: Proceedigns IEEE International Symposium on Circuits and System, pp. 1588–1591, May 2008
12.
Chacon, M., González, S., Vega, J.: Simplified SOM-neural model for video segmentation of moving objects. In: Proceedings of International Joint Conference on Neural Network, pp. 474–480, June 2009
13.
Gacsadi, A., Szolgay, P.: Variational computing based segmentation methods for medical imaging by using CNN. In: Proceedings of 12th International Workshop on Cellular Nanoscale Network and their Application, pp. 1–6, Feb 2010
14.
Tang, M.: Edge detection and image segmentation based on cellular neural network. In: Proceedings of 3rd International Conference on Bioinformatics and Biomedical Engineering, pp. 1–4, June 2009
15.
Kang, J., Zhang, W.: An approach for image thresholding using CNN associated with histogram analysis. In: Proceedings of International Conference on Measuring Technology and Mechatronics Automation, pp. 421–424, Apr 2009
16.
Chua, L.O., Roska, T.: Cellular Neural Networks and Visual Computing. Cambridge University Press, Cambridge (2002)CrossRef
17.
Chen, B., Lei, Y.: Indoor and outdoor people detection and shadow suppression by exploiting HSV color information. In: Proceedings of IEEE International Conference Computer Information Technology, pp. 137–142, Sept 2004
18.
19.
Maddalena, L., Petrosino, A.: A self-organization approach to background substraction for visual surveillance applications. IEEE Trans. Image Process. 17, pp. 1168–1177 (2008)CrossRefMathSciNet
Metadata
Title
A DTCNN Approach on Video Analysis: Dynamic and Static Object Segmentation
Authors
Mario I. Chacon-Murguia
David Urias-Zavala
Copyright Year
2014
Book
Recent Advances on Hybrid Approaches for Designing Intelligent Systems

Print ISBN: 978-3-319-05169-7

Electronic ISBN: 978-3-319-05170-3

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-05170-3_22

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