博士论坛:视觉传感器网络中目标识别的层次特征方案

Vildana Sulic Kenk, J. Pers, M. Kristan, S. Kovacic
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引用次数: 1

摘要

提出了一种用于视觉传感器网络中目标识别的分层特征分布方案框架。我们的方法的关键是这样一个原则:网络中的各个节点只保存少量关于网络所看到的对象的信息,然而,这少量的信息足以有效地通过网络路由查询。初步结果表明,与更简单的特征分布方案相比,通过网络传输的数据量可以减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PhD forum: Hierarchical feature scheme for object recognition in visual sensor networks
We propose a framework for hierarchical feature distribution scheme for object recognition in a network of visual sensors. The key of our approach is the principle that individual nodes in the network hold only a small amount of information about objects seen by the network, however, this small amount is sufficient to efficiently route queries through the network. Preliminary results suggest that amount of data transmitted through the network can be reduced in comparison to simpler feature distribution schemes.
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