Motion estimation in an image sequence has many potential uses such as detecting and tracking moving objects. However, one potential drawback to its use is the computation time needed to run the motion estimation software.
Seeking to accelerate the process, researchers from the Illinois Institute of Technology (Chicago, IL, USA) have taken a general purpose block-matching algorithm which is commonly used for motion estimation and ported it to run on multiple NVIDIA (Santa Clara, CA, USA) GPU cards using the Compute Unified Device Architecture (CUDA) computing engine.
Motion estimation algorithm ported to GPU
September 15th, 2012 · No Comments
Tags: MulticoreInfo
Like what you're reading? Come back every day for multicore news, or subscribe to RSS updates.
0 responses so far ↓
There are no comments yet...Kick things off by filling out the form below.
You must log in to post a comment.