Tracking of moving objects that is called video tracking is used for measuring motion parameters and obtaining a visual record of the moving objects, it is an important area of application in image processing. In general there are two different approaches to obtain object tracking: the first is Recognition-based Tracking, and the second is the Motion-based Tracking. Video tracking system raises...

Visual attention is the biological mechanism allowing to turn mere sensing into conscious perception. In this process, object-based modulation of attention provides a further layer between low-level space/feature-based region selection and full object recognition. In this context, motion is a very powerful feature, naturally attracting our gaze and yielding rapid and effective shape distinction...

Visual attention is the biological mechanism allowing to turn mere sensing into conscious perception. In this process, object-based modulation of attention provides a further layer between low-level space/feature-based region selection and full object recognition. In this context, motion is a very powerful feature, naturally attracting our gaze and yielding rapid and effective shape distinction...

The edge and motion are the main features that human visual system (HVS) perceives intensively. Therefore, it is very important to obtain accurate boundary of moving object coinciding with the boundary that HVS perceives for human-like vision system. This paper proposes an algorithm for the segmentation of the moving object with accurate boundary using color and motion focusing on the HVS perce...

The robotic visual servoing system related to robot control and machine vision issue has received many attentions from researchers. The system introduced in this paper consists of a pan/tilt robot with 2 degree of freedom that controls a videocamera. The aim of system is to move robot in such a way that the image of an unknown moving object attains the center of camera. We propose a kinematic m...

This paper presents Sakbot, a system for moving object detection in traffic monitoring and video surveillance applications. The system is endowed with robust and efficient detection techniques, which main features are the statistical and knowledge-based background update and the use of HSV color information for shadow suppression. Tracking is provided by a symbolic reasoning module allowing fle...

Moving object detection including background subtraction and morphological processing is a critical research topic for video surveillance because of its high computational loading and power consumption. This paper proposes a hardware design to accelerate the computation of background subtraction with low power consumption. A real-time background subtraction method is designed with a frame-buffe...

A real-time tracking system with the ability of tracking the moving target using cam-shift algorithm is designed. The basic technique of the stereo vision system is discussed. The architecture, the hardware component and the interface of the tracking system is analyzed. Two digital cameras are fit on the cradle head, and the electric pan/tilt/zoom controller has two independent degrees of freed...

Moving object detection is low-level, important task for any visual surveillance system. One of the aim of this project is to, to describe various approaches of moving object detection such as background subtraction, temporal difference. A statistical mean technique is used to overcome the problem in previous techniques. We propose a modified statistical mean technique with noise removing proce...