Title :
A visual sensor network for object recognition: Testbed realization
Author :
Redondi, Alessandro ; Baroffio, Luca ; Canclini, Antonio ; Cesana, Matteo ; Tagliasacchi, M.
Author_Institution :
Dipt. di Elettron. e Inf., Politec. di Milano, Milan, Italy
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.
Keywords :
distributed sensors; feature extraction; image sensors; object recognition; BRISK visual features; Intel Imote2 sensor devices; energy hardware; feature extraction; object recognition service; processing time; recognition accuracy; reference implementation; resource-constrained hardware; visual sensor network; Cameras; Computer architecture; Detectors; Feature extraction; Hardware; Object recognition; Visualization; feature extraction; object recognition; visual sensor networks;
Conference_Titel :
Digital Signal Processing (DSP), 2013 18th International Conference on
Conference_Location :
Fira
DOI :
10.1109/ICDSP.2013.6622789
