  Selecting human objects out of the various type of objects in images and
merging them with other scenes is manual and day-to-day work for photo editors.
Although recently Adobe photoshop released "select subject" tool which
automatically selects the foreground object in an image, but still requires
fine manual tweaking separately. In this work, we proposed an application
utilizing Mask R-CNN (for object detection and mask segmentation) that can
extract human instances from multiple images and merge them with a new
background. This application does not add any overhead to Mask R-CNN, running
at 5 frames per second. It can extract human instances from any number of
images or videos from merging them together. We also structured the code to
accept videos of different lengths as input and length of the output-video will
be equal to the longest input-video. We wanted to create a simple yet effective
application that can serve as a base for photo editing and do most
time-consuming work automatically, so, editors can focus more on the design
part. Other application could be to group people together in a single picture
with a new background from different images which could not be physically
together. We are showing single-person and multi-person extraction and
placement in two different backgrounds. Also, we are showing a video example
with single-person extraction.
