Abstract
In this paper, an adaptive block partition decision methodology is presented for very large-scale integration (VLSI) implementation of object-detection for real-time ultrahigh-definition (4K2K) resolution video displaying. The proposed adaptive block partition decision algorithm includes a data controller, a gray-level generator, a subblock difference module, and an edge detector. The edge detector is designed for discovering edges in images using an efficient edge-catching technique. An adaptive block partition decision technique was added to enhance the shapes of objects and to decrease the edge distortion effects. Furthermore, a threshold constraint is used to set parameters for different sizes of blocks. A statistic methodology of object detection is also used to determine whether it is necessary to trigger an alert signal or not. The VLSI architecture of the proposed design contains 6.99-K gate counts. Its power consumption is 1.63 mW and its operating frequency is to 374.5 MHz by using a 90-nm CMOS technology. Compared with previous designs, the proposed design not only achieves reduction of more silicon area, but also increases the processing throughput, and accuracy of object-detection for real-time video display.
© 2016 IEEE
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription
Add to BibSonomy