首页> 外国专利> JOINT FACE-DETECTION AND HEAD-POSE-ANGLE-ESTIMATION USING SMALL-SCALE CONVOLUTIONAL NEURAL NETWORK (CNN) MODULES FOR EMBEDDED SYSTEMS

JOINT FACE-DETECTION AND HEAD-POSE-ANGLE-ESTIMATION USING SMALL-SCALE CONVOLUTIONAL NEURAL NETWORK (CNN) MODULES FOR EMBEDDED SYSTEMS

机译:嵌入式系统中基于小尺度卷积神经网络(CNN)模块的联合人脸检测和头部位置角估计

摘要

Embodiments described herein provide various examples of a joint face-detection and head-pose-angle-estimation system based on using a small-scale hardware CNN module such as the built-in CNN module in HiSilicon Hi3519 system-on-chip. In some embodiments, the disclosed joint face-detection and head-pose-angle-estimation system is configured to jointly perform multiple tasks of detecting most or all faces in a sequence of video frames, generating pose-angle estimations for the detected faces, tracking detected faces of a same person across the sequence of video frames, and generating “best-pose” estimation for the person being tracked. The disclosed joint face-detection and pose-angle-estimation system can be implemented on resource-limited embedded systems such as smart camera systems that are only integrated with one or more small-scale CNN modules. The proposed system in conjunction with using a subimage-based technique has made it possible to performance multiple face detection and face recognition tasks on high-resolution input images with small-scale low-cost CNN modules.
机译:本文描述的实施例提供了基于使用诸如HiSilicon Hi3519片上系统中的内置CNN模块的小型硬件CNN模块的联合面部检测和头部姿势角度估计系统的各种示例。在一些实施例中,所公开的联合面部检测和头部姿势角度估计系统被配置为共同执行检测视频序列序列中的大多数或全部面部,生成用于所检测到的面部的姿势角度估计,跟踪的多个任务。在整个视频帧序列中检测到同一个人的脸部,并为被跟踪的人生成“最佳姿势”估计。所公开的联合面部检测和姿势角度估计系统可以在资源有限的嵌入式系统上实施,例如仅与一个或多个小尺寸CNN模块集成的智能相机系统。所提出的系统结合使用基于子图像的技术,使得可以使用小型低成本CNN模块在高分辨率输入图像上执行多个面部检测和面部识别任务。

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