A Method for Background Establishment Using Accumulate Histogram for Detection of Object Trajectory for Video Tracking Applications

Hadi And Adil Abbas Majeed, Israa

	A Method for Background Establishment Using Accumulate Histogram for Detection of Object Trajectory for Video Tracking Applications
Albahir journal
Article 1, Volume 3, Issue 5, 2016, Pages 55-65
Author
Israa Hadi and Adil Abbas Majeed
Abstract
There are a lot of challenges facing the process of tracking moving targets, particularly when using fixed or moving cameras, so there is a need to find appropriate solutions to solve the kind of problems. The process of tracking moving objects becomes easier when the background is fixed (i.e., static) in order to distinguish the moving objects from the static parts by different operations. In this research, we attempt to utilize a technique for building a background template for this scene, and this model replaces when time changes are caused by weather adversity or dynamic illumination. We use the accumulative histogram for each block of the video frames to compute the background value of that block. Hence, the most probable mean of the block will be adopted as the background mean value, and this value can be subtracted for the values of pixels which belong to that block. The mean values of all corresponding blocks which lay in the taken successive block are used to get the most redundant mean which is adopted as the background value of that block. For the purpose of identifying the moving objects and separating it from other objects as well as the background we apply the method of region grown. Some features like ( the center of any object) are extracted, and they are used to fix the trajectory of the identified object by tracking the changes in position coordinated from frame set to other set by using Euclidean distance metric.
Keywords
Accumulate histogram; Accumulative histogram Background model; video Tracking; Trajectory

Statistics Article View: 87 PDF Download: 6