Temporal image fusion in human vision

A PRACTICAL APPROACH TO REAL-TIME DYNAMIC BACKGROUND GENERATION BASED ON A TEMPORAL MEDIAN FILTER

In many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. Background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. In this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...

Robot Motion Vision Pait I: Theory

A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation which explicitly expresses the rotational velocity in terms of the translational velocity. The combination of this constraint equation with the Brightness-Change Constraint Equation solves the gene...

The Concepts of Vision, Mission and Fusion in the Strategic Planning

Object Level Strategy for Spectral Quality Assessment of High Resolution Pan-sharpen Images

Panchromatic and multi-spectral images produced by the remote sensing satellites are fused together to provide a multi-spectral image with a high spatial resolution at the same time. The spectral quality of the fused images is very important because the quality of a large number of remote sensing products depends on it. Due to the importance of the spectral quality of the fused images, its eval...

Multiple Image Objects Detection, Tracking, and Classification using Human Articulated Visual Perception Capability

This chapter examines the multiple image objects detection, tracking, and classification method using human articulated visual perception capability in consecutive image sequences. The described artificial vision system mimics the characteristics of the human visual perception. It is a well known fact that a human being, first detects and focuses motion energy of a scene, and then analyzes only...

Classification of Multispectral Image Data with Spatial-temporal Context

Pattern recognition technology has had a very important role in many fields of application including image processing, computer vision, remote sensing, etc. The advent of more powerful sensor systems should enable one to extract far more detailed information than ever before from observed data, but to realize this goal requires the development of concomitant data analysis techniques which can u...