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Proceedings Paper

Modified-hybrid optical neural network filter for multiple object recognition within cluttered scenes
Author(s): Ioannis Kypraios; Rupert C. D. Young; Chris R. Chatwin
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Paper Abstract

Motivated by the non-linear interpolation and generalization abilities of the hybrid optical neural network filter between the reference and non-reference images of the true-class object we designed the modifiedhybrid optical neural network filter. We applied an optical mask to the hybrid optical neural network's filter input. The mask was built with the constant weight connections of a randomly chosen image included in the training set. The resulted design of the modified-hybrid optical neural network filter is optimized for performing best in cluttered scenes of the true-class object. Due to the shift invariance properties inherited by its correlator unit the filter can accommodate multiple objects of the same class to be detected within an input cluttered image. Additionally, the architecture of the neural network unit of the general hybrid optical neural network filter allows the recognition of multiple objects of different classes within the input cluttered image by modifying the output layer of the unit. We test the modified-hybrid optical neural network filter for multiple objects of the same and of different classes' recognition within cluttered input images and video sequences of cluttered scenes. The filter is shown to exhibit with a single pass over the input data simultaneously out-of-plane rotation, shift invariance and good clutter tolerance. It is able to successfully detect and classify correctly the true-class objects within background clutter for which there has been no previous training.

Paper Details

Date Published: 1 September 2009
PDF: 12 pages
Proc. SPIE 7442, Optics and Photonics for Information Processing III, 74420P (1 September 2009); doi: 10.1117/12.826556
Show Author Affiliations
Ioannis Kypraios, Univ. of Sussex (United Kingdom)
Rupert C. D. Young, Univ. of Sussex (United Kingdom)
Chris R. Chatwin, Univ. of Sussex (United Kingdom)


Published in SPIE Proceedings Vol. 7442:
Optics and Photonics for Information Processing III
Khan M. Iftekharuddin; Abdul Ahad Sami Awwal, Editor(s)

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