The researchers from the International Automotive Research Centre at the Warwick University has asked if URAPIV can perform on the images like the example above. The original images are typical gray scale images, but taken with a camera that also moves. Therefore, the motion is a superposition of the motion of cars (note the direction of the middle jeep) and of the "optical flow" because of the camera shift. Anyhow, it was an interesting challenge and we were happy with the preliminary result. For this purpose we also updated URAPIV with a version for Matlab R14SP2 (R14 is ver 7) that reads TIFF, JPG, BMP or all other formats that IMREAD function of Matlab can read. The names are like from a high-speed camera (sometimes called time resolved PIV or high frame rate PIV, etc.) and we analyze 1st with the 2nd, 2nd with the 3rd, and so on.

The strange image is an overlay of the two images in one RGB image, when the first one is the red layer (R) and the second image is the blue layer (B). Arrows are green, respectively. The magenta is all the regions that didn't change and the differences are seen between the images where the color is blue or red. In Matlab we do it like this:

>> imshow(cat(3,a,a*0,b)); % a/b are the first/second image  

Don't hesitate to ask for the most recent version by e-mail, we are always glad to see URAPIV that helps to resolve different problems.