Bookmark and Share

Moving Object Detection Through Background Subtraction, Part One

Register or sign in to access the Embedded Vision Academy's free technical training content.

The training materials provided by the Embedded Vision Academy are offered free of charge to everyone. All we ask in return is that you register, and tell us a little about yourself so that we can understand a bit about our audience. As detailed in our Privacy Policy, we will not share your registration information, nor contact you, except with your consent.

Registration is free and takes less than one minute. Click here to register, and get full access to the Embedded Vision Academy's unique technical training content.

If you've already registered, click here to sign in.

See a sample of this page's content below:

Jeff Bier, founder of the Embedded Vision Alliance, interviews Goksel Dedeoglu, Manager of Embedded Vision R&D at Texas Instruments. Beginning with a hands-on demonstration of TI's Vision Library (VLIB) on a DaVinci DM6437 evaluation board, Jeff and Goksel touch upon various aspects of embedded vision engineering: algorithm design and prototyping in a PC environment, embedded software porting and optimization, and selection of a cost-effective hardware platform. Highlighting the need for embedded-friendly APIs, Goksel reports on his experiences with the performance speedups achievable through compiler options, loop unrolling, and C6x DSP intrinsics, and he points out available TI resources that enable vision developers to follow in his footsteps.

Moving Object Segmentation demo credit: Darnell J. Moore of Texas Instruments.

This is part one of a two-part tutorial series. Please click here for part two.

For more information about Texas Instruments, please send the company an email or visit the company's website.