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1. 发明授权

US08081816B1 Apparatus and method for hardware implementation of object recognition from an image stream using artificial neural network 有权
标题翻译：使用人工神经网络从图像流硬件实现对象识别的装置和方法
公开(公告)号：US08081816B1
公开(公告)日：2011-12-20
申请号：US12157087
申请日：2008-06-06
申请人： Kevin Maurice Irick , Vijaykrishnan Narayanan , Hankyu Moon , Rajeev Sharma , Namsoon Jung
发明人： Kevin Maurice Irick , Vijaykrishnan Narayanan , Hankyu Moon , Rajeev Sharma , Namsoon Jung
IPC分类号： G06K9/62
CPC分类号： G06K9/00986 , G06K9/00979 , G06N3/063
摘要： The present invention is an apparatus and method for object recognition from at least an image stream from at least an image frame utilizing at least an artificial neural network. The present invention further comprises means for generating multiple components of an image pyramid simultaneously from a single image stream, means for providing the active pixel and interlayer neuron data to at least a subwindow processor, means for multiplying and accumulating the product of a pixel data or interlayer data and a synapse weight, and means for performing the activation of an accumulation. The present invention allows the artificial neural networks to be reconfigurable, thus embracing a broad range of object recognition applications in a flexible way. The subwindow processor in the present invention also further comprises means for performing neuron computations for at least a neuron. An exemplary embodiment of the present invention is used for object recognition, including face detection and gender recognition, in hardware. The apparatus comprises a digital circuitry system or IC that embodies the components of the present invention.
摘要翻译：本发明是一种用于至少利用至少一个人造神经网络的至少一个图像帧的图像流进行物体识别的装置和方法。本发明还包括用于从单个图像流同时生成图像金字塔的多个分量的装置，用于向至少一个子窗口处理器提供活动像素和层间神经元数据的装置，用于乘法和累加像素数据的乘积的装置，层间数据和突触重量，以及用于执行累积的激活的装置。本发明允许人造神经网络是可重构的，因此以灵活的方式包含广泛的对象识别应用。本发明的子窗口处理器还包括用于对至少神经元进行神经元计算的装置。本发明的一个示例性实施例用于硬件中的对象识别，包括面部检测和性别识别。该装置包括体现本发明组件的数字电路系统或IC。

2. 发明授权

US08165386B1 Apparatus and method for measuring audience data from image stream using dynamically-configurable hardware architecture 有权
标题翻译：使用动态可配置硬件架构从图像流测量观众数据的装置和方法
公开(公告)号：US08165386B1
公开(公告)日：2012-04-24
申请号：US12583323
申请日：2009-08-18
申请人： Hankyu Moon , Kevin Maurice Irick , Vijaykrishnan Narayanan , Rajeev Sharma , Namsoon Jung
发明人： Hankyu Moon , Kevin Maurice Irick , Vijaykrishnan Narayanan , Rajeev Sharma , Namsoon Jung
IPC分类号： G06K9/62
CPC分类号： G06K9/00993 , G06K9/00973
摘要： The present invention is an embedded audience measurement platform, which is called HAM. The HAM includes hardware, apparatus, and method for measuring audience data from image stream using dynamically-configurable hardware architecture. The HAM provides an end-to-end solution for audience measurement, wherein reconfigurable computational modules are used as engines per node to power the complete solution implemented in a flexible hardware architecture. The HAM is also a complete system for broad audience measurement, which has various components built into the system. Examples of the components comprise demographics classification, gaze estimation, emotion recognition, behavior analysis, and impression measurement.
摘要翻译：本发明是一种称为HAM的嵌入式观众测量平台。 HAM包括使用动态可配置的硬件架构来测量来自图像流的观众数据的硬件，装置和方法。 HAM为观众测量提供端到端解决方案，其中可重构计算模块用作每个节点的引擎，为在灵活的硬件架构中实现的完整解决方案提供动力。 HAM也是一个完整的系统，用于广泛的受众测量，其中包含系统内置的各种组件。组件的示例包括人口统计分类，注视估计，情感识别，行为分析和印象测量。

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