A Real-Time Multiaperture Omnidirectional Visual Sensor Based on an Interconnected Network of Smart Cameras

Centralized and multilevel implementations of the Panoptic omnidirectional multiaperture visual system were previously presented by us, relying on the transmission of all camera outputs to a single central processing node for omnidirectional image and video reconstruction. In this paper, a novel dis...

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Vydáno v:IEEE transactions on circuits and systems for video technology Ročník 25; číslo 2; s. 314 - 324
Hlavní autoři: Seyid, Kerem, Popovic, Vladan, Cogal, Omer, Akin, Abdulkadir, Afshari, Hossein, Schmid, Alexandre, Leblebici, Yusuf
Médium: Journal Article
Jazyk:angličtina
Vydáno: IEEE 01.02.2015
Témata:
Bandwidth
Cameras
Image reconstruction
Image resolution
Interpolation
Real-time systems
Reconstruction algorithms
Field programmable gate array
image reconstruction
real-time systems
smart cameras
ISSN:1051-8215, 1558-2205
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Shrnutí:Centralized and multilevel implementations of the Panoptic omnidirectional multiaperture visual system were previously presented by us, relying on the transmission of all camera outputs to a single central processing node for omnidirectional image and video reconstruction. In this paper, a novel distributed and parallel implementation of the omnidirectional vision reconstruction algorithm of the Panoptic system is presented. The parallel approach aims to overcome the scalability problems and memory bandwidth limitations of the centralized approach. The real-time hardware implementation is presented for camera modules with image processing, memory, and interconnectivity features. A methodology is introduced for the arrangement of camera modules with interconnectivity feature into a target interconnection network topology. A unique custom-made multiple-field-programmable gate array hardware platform is introduced for the implementation of an interconnected network of 49 camera prototype Panoptic system. A hardware architecture based on presented hardware platform enabling the real-time implementation of the blending algorithms is presented, along with the imaging results and resource utilization. The real-time implementation results of the implemented omnivision application on the mentioned prototype are demonstrated.
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2014.2355713