A novel low latency integral image architecture Conference Paper

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Overview

abstract

• An integral image is a vital pre-processing step for several detection algorithms. Object detection algorithm requires real-time operation. Therefore, a strong restriction of time is imposed over the integral image processing. However, the integral image calculation speed is proportional to the image resolution. Hardware implementation provides the necessary speed to achieve a real-time object detection. Previous approaches have relied on an image that has been acquired and stored beforehand to start processing it. However, the performance of the system must take into consideration the acquisition and storing of the image. This paper introduces an integral image architecture that integrates the acquisition and processing stage. Therefore, the proposed architecture leaves out the need for external memory and eliminates the need to wait for an image to be acquired and stored. © 2017 IEEE.

authors

• Aguilar Ponce Ruth Mariela
• Tecpanecatl Xihuitl José Luis
• Valenzuela-Lopez O.G.

publication date

• 2017-01-01

funding provided via

• 387088  Grant

published in

• 2017 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2017  Proceedings

Research

keywords

• Haar-like features; image integral; object detection Image resolution; Object detection; Object recognition; Signal detection; Detection algorithm; Haar-like features; Hardware implementations; Image integral; Object detection algorithms; Pre-processing step; Proposed architectures; Real-time operation; Image acquisition

Identity

Digital Object Identifier (DOI)

• 10.1109/ROPEC.2017.8261646

Additional Document Info

start page

• 1

end page

• 5

volume

• 2018-January