This paper discusses the design and implementation of a framework that automatically
extracts and monitors the shape deformations of soft objects from a video sequence and …

Abstract Background and Objective: Medical image processing can contribute to the
detection and diagnosis of human body anomalies, and it represents an important tool to …

The particle filter technique has been used extensively over the past few years to track
objects in challenging environments. Due to its nonlinear nature and the fact that it does not …

In the changing global business environment, the relationship between technology and
business dynamics has become more complex and influential. This case study aims to …

Accurately generating an alarm for a moving door is a precondition for tracking, recognizing
and segmenting objects or people entering or exiting the door. The challenge of generating …

This study has been conducted to develop robust event detection and object tracking
algorithms that can be implemented in real time video surveillance applications. The aim of …

Recognition of object under uncontrolled illumination environment is imprecise and vague.
A simple image preprocessing chain is taken for precept. Local binary pattern (LBP) is …

• Active contour selected target used to create a blank background reference image• The
reference image is rotated-6 to+ 6 degrees and 7 reference images are created (2 deg …

Accurately tracking moving targets in a complex scene involving moving cameras,
occlusions and targets embedded in noise is a very active research area in computer vision …

Efficient tracking of deformable objects moving with variable velocities is an important
current research problem. In this thesis a robust tracking model is proposed for the automatic …