A novel algorithm is proposed for background estimation using statistical pattern recognition. Usually the

segmentation of objects in images is achieved by identifying homogeneous regions in individual images or by finding motions of objects...

A novel algorithm is proposed for background estimation using machine learning and statistical pattern recognition. Usually the segmentation of objects in images is achieved by identifying homogeneous regions in individual images or by finding...

One problem in background estimation is the inherent change in the background such as waving

tree branches, water surfaces, camera shakes, and the existence of moving objects in every

image. In this paper, a new method for background...

Abstract—This paper presents a novel method for

background estimation in a video sequence from the function

estimation point of view. The proposed algorithm, called

Kernel-based Background Learning (KBL), is designed based...

Abstract: This paper presents a human gait recognition system based on a leg gesture separation.

Main innovation in this paper includes gait recognition using leg gesture classification which gives a

high ...