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Design Guidelines for Embedded Real-Time Face Detection Applications

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By Eldad Melamed
Project Manager, Video Algorithms
CEVA

To read this article as a pdf file, click here.

Much like the human visual system, embedded computer vision systems perform the same visual functions of analyzing and extracting information from video in a wide variety of products.

In embedded portable devices such as Smartphones, digital cameras, and camcorders, the elevated performance has to be delivered with limited size, cost, and power. Emerging high-volume embedded vision markets include automotive safety, surveillance, and gaming. Computer vision algorithms identify objects in a scene, and consequently produce one region of an image that has more importance than other regions of the image. For example, object and face detection can be used to enhance video...