Title: Implementation on video object segmentation algorithm

yi-ting kuo
chia-peng wu

Main purpose of video segmentation is to enable content-based
representation by extracting objects of interest from a series of
consecutive video frames.  It is also a key to many robotic vision
applications.  Most vision based autonomous vehicles acquire information
on their surroundings by analyzing video.  Particularly, it is required
for high-level image understanding and scene interpretation such as
spotting and tracking of special events in surveillance video.  For
instance, pedestrian and highway traffic can be regularized using
density evaluations obtained by segmenting people and vehicles.  By
object segmentation, speeding and suspicious moving cars, road
obstacles, strange activities can be detected.  Forbidden zones, parking
lots, elevators can be monitored automatically.  Gesture recognition as
well as visual biometric extraction can be done for user interfaces.  We
developed a novel algorithm for automatic and reliable segmentation of
moving objects in color video seque! nces and t planes.  A set of object
descriptors are proposed to establish the relation between the different
video objects hierarchically.What we do is to implement an efficient
video object segmentation algorithm with c language and search for
hardware implementation using systolic array and pipelined architecture.