一种用于物体识别的视觉传感器网络:试验台实现

2013 18th International Conference on Digital Signal Processing (DSP) Pub Date : 2013-07-01 DOI:10.1109/ICDSP.2013.6622789

A. Redondi, L. Baroffio, A. Canclini, M. Cesana, M. Tagliasacchi

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引用次数: 21

摘要

这项工作描述了在能源和资源受限的硬件之上实现一个对象识别服务。在Intel Imote2传感器设备上实现了基于BRISK视觉特征的完整目标识别流水线。参考实现从处理时间和识别精度两方面评估了目标识别管道的性能。

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A visual sensor network for object recognition: Testbed realization

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.

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2013 18th International Conference on Digital Signal Processing (DSP)

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