Abstract:
Recent growth in the number of digital
images available motivates the development
of image/video databases for the effective management
of these ever-increasing images. A common
image retrieval task requires retrieving all
images in the database similar in image content to
an example query image. In this paper,we
develop a simple, fast and robust motion segmentation
algorithm to separate images into independently
moving objects and an indexing scheme
that uses the trajectories, shapes and image flow
vectors of the independently moving objects to
insert/query the sequences in a database. In order
to test our ideas, we developed a video database
prototype and experimented with real images
from scenes showing moving cars.