کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
527701 | 869347 | 2007 | 7 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: A genetic algorithm for optical flow estimation A genetic algorithm for optical flow estimation](/preview/png/527701.png)
This paper illustrates a new optical flow estimation technique that builds upon a genetic algorithm (GA). First, the current frame is segmented into generic shape regions, using only luminance and color information. For each region, a two-parameter motion model is estimated using a GA. The fittest individuals identified at the end of this step are used to initialize the population of the second step of the algorithm, which estimates a six-parameter affine motion model, again using a GA. The proposed method is compared with a multi-resolution version of the well-known Lucas–Kanade differential algorithm. Our simulations demonstrate that, with respect to Lucas–Kanade, it significantly reduces the energy of the motion-compensated residual error.
Journal: Image and Vision Computing - Volume 25, Issue 2, February 2007, Pages 141–147