Call For Paper Volume:4 Issue:10 Oct'2017 |

An Object Segmentation Method For Surveillance Application

Publication Date : 31/03/2015

Author(s) :

P.Nivetha , M.Padmapriya , S.Gnanavel M.E,(Ph.d).

Volume/Issue :
Volume 2
Issue 3
(03 - 2015)

Abstract :

Video tracking is the process of locating a moving object (or multiple objects) over time using a camera. It has a variety of uses, some of which are: human-computer interaction, security and surveillance, video communication and compression, augmented reality, traffic control and video editing. In this paper, we present a novel block based object mask segmentation method for silhouette tracker initialization. Now a day everywhere use surveillance cameras. This type cameras using methods is intelligence tasks. Its work is motion detection, human identification, etc. now a day one type of camera is track human and vehicles. This type of camera use tracks live and tracker. A simple bounding box contains too much irrelevant background objects, while a manually specified mask could provide accurate silhouette but this also requires lots of interactive which greatly limits its practicality. One typical requirement is to track suspicious humans or vehicles in the cameras’ live or recorded footages, and over the years researchers have proposed different tracking methods, such as point tracking, kernel tracking and silhouette tracking to support this requirement.

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An Object Segmentation Method For Surveillance Application

March 20, 2015