This work describes the implementation of an object recognition service on top of energy and resource-constrained hardware. A complete pipeline for object recognition based on the BRISK visual features is implemented on Intel Imote2 sensor devices. The reference implementation is used to assess the performance of the object recognition pipeline in terms of processing time and recognition accuracy.

A visual sensor network for object recognition: Testbed realization

REDONDI, ALESSANDRO ENRICO CESARE;BAROFFIO, LUCA;CANCLINI, ANTONIO;CESANA, MATTEO;TAGLIASACCHI, MARCO
2013

Abstract

This work describes the implementation of an object recognition service on top of energy and resource-constrained hardware. A complete pipeline for object recognition based on the BRISK visual features is implemented on Intel Imote2 sensor devices. The reference implementation is used to assess the performance of the object recognition pipeline in terms of processing time and recognition accuracy.
2013 18th International Conference on Digital Signal Processing (DSP)
978-1-4673-5805-7
visual sensor networks; object recognition; feature extraction
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11311/760642
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