A Proposed Security System Using Object Proposals via Superpixel Segmentation

Vikas Upadhyaya

Abstract


A simple security system is presented in this paper, which can be implemented through multiple surveillance cameras, to detect trespasses and breaches of security in a wide range of real-world applications, especially on properties without fencing. The main distinguishable factor contained in the paper is the developed proposed algorithm, which largely deals with grouping objects based on superpixel properties and subsequently proposing objects in a given image. Some of the basic concepts explored include superpixel segmentation (with the help of the concept of SEEDS- Superpixel Extraction using Energy Driven Sampling) and a logical grouping of superpixels proposed to be in the same object.


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References


V. den Bergh M., Boix X., Roig G., de Capitani B. and Van Gool L., “SEEDS: Superpixels Extracted via Energy-Driven Sampling”,in European Conference on Computer Vision, vol. 7, pp. 13-26, 2012.

Ahmed Elgammal et al., “Non-parametric Model for Background Subtraction,” in 6th European Conference on Computer Vision, Dublin, 2000.

Chris Stauffer, W. Eric L. Grimson, “Learning patterns of activity using real time tracking”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume: 22, Issue: 8, Aug 200.

Henry Schneiderman and Takeo Kanade, “Object Detection Using the Statistics of Parts”, International Journal of Computer Vision, Vol. 56; Iss. 3, 2004.

Radhakrishna Achanta, Appu Shaji, Kevin Smith, Aurelien Lucchi, Pascal Fua, and Sabine Susstrunk, “SLIC Superpixels”, EPFL Technical Report 149300, June 2010.

Santiago Manen, Matthieu Guillaumin, Luc Van Gool, “Prime Object Proposals with Randomized Prim’s Algorithm”, in International Conference on Computer Vision, Sydney, NSW, Australia, 2013.

B.K.P. HORN AND B.G. SCHUNCK, “Determining Optical Flow”, Artificial Intelligence, vol. ED-17, pp. 185-203, 1981.

A. Mohan, C. Papageorgiou, and T. Poggio. “Example-Based Object Detection in Images by Components,” PAMI, vol. 23, no. 4, pp. 349– 361, April 2001.

C. Papageorgiou and T. Poggio, “A Trainable System for Object Detection”, International Journal of Computer Vision, vol. 38, pp. 15–33, 2000.

Koen E. A. van de Sande, Jasper R. R. Uijlings, Theo Gevers, Arnold W. M. Smeulders, “Segmentation as Selective Search for Object Recognition”, in 2011 IEEE International Conference on Computer Vision, Barcelona, Spain, 2011.

Ahmad Humayun et al., “RIGOR: Reusing Inference in Graph Cuts for generating Object Regions”, in 2014 IEEE Conference on Computer Vision and Pattern Recognition, Columbus, OH, USA, 2014.

Jitendra Malik, Serge Belongie, Thomas Leung and Jianbo Shi, “Contour and Texture Analysis for Image Segmentation”, International Journal of Computer Vision, vol. 43, no. 1, pp. 7–27, 2001.


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