Detection of objects in moving images and implementation of the purification algorithm on analog CNN and DSP processors

  • Authors:

  • Emel Arslan;Zeynep Orman;Sabri Arik

  • Affiliations:

  • Research and Application Center for Computer Sciences, Istanbul University, Istanbul, Turkey;Department of Computer Engineering, Istanbul University, Istanbul, Turkey;Department of Computer Engineering, Istanbul University, Istanbul, Turkey

  • Venue:
  • NNECFSIC'12 Proceedings of the 12th WSEAS international conference on Neural networks, fuzzy systems, evolutionary computing & automation
  • Year:
  • 2011

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Abstract

CNN Universal Machines that contain two different processors working interactively with each other, have an important impact for image processing applications with their advanced computing features. These processors are named as ACE16k processor which is the hardware implementation of cellular neural networks and Digital Signal Processor (DSP). Bi-i Cellular Vision System is a CNN Universal Machine that also has these characteristics. In this study, certain objects in moving images are detected and their features are extracted. By using these features, a purification algorithm is implemented on the Bi-i Cellular Vision System. This algorithm is implemented with two different applications. In the first application, the algorithm is implemented only on a Digital Signal Processor. In the second one, it is run in coordination with both an ACE16k processor and a Digital Signal Processor. These applications are evaluated by comparing the obtained results in terms of run-time.