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Conference Papers Year : 2018

LobNet platform: Target tracking with a low resolution camera network

François Berry

Abstract

In this paper, we present a new platform for environment monitoring using very low specification cameras. These latter are distinguished by their visual sensors offering tiny images (30*30 pixels), completely local processing thanks to the max10 FPGA and the SmartMesh IP technology offering a mesh network. The lack of information extracted by visual sensors is filled by intensive communication and data exchanged between cameras after each detection. Thus, a re-identification process is applied based on exchanged and extracted data after each target detection.
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Dates and versions

hal-01966756 , version 1 (29-12-2018)

Identifiers

  • HAL Id : hal-01966756 , version 1

Cite

Lobna Ben Khelifa, François Berry, Jean-Charles Quinton. LobNet platform: Target tracking with a low resolution camera network. Unconventional Sensing and Processing for Robotic Visual Perception workshop, IEEE/RSJ International Conference on Intelligent Robots and Systems, Oct 2018, Madrid, Spain. ⟨hal-01966756⟩
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