Motion estimation is demanding field among researchers to compute independent estimation of motion at each pixel in most of general. Motion estimation generally known as optical or optic flow. In this paper, overview of some basic concepts of motion estimation, optical flow and Lucas kanade method has been provided by us. Lucas kanade method is one of the methods for optical flow measurement. I...

Automatic co-alignment of optical and virtual colonoscopy images can supplement traditional endoscopic procedures, by providing more complete information of clinical value to the gastroenterologist. In this work, we present a comparative analysis of our optical flow based technique for colonoscopy tracking, in relation to current state of the art methods, in terms of tracking accuracy, system s...

Computing the optical flow of a sequence of images still remains a challenge in low-level video processing. Till present, none of the existing techniques has sufficiently generated accurate and dense optical flow fields to robustly represent video motion. In this paper we implement the optical flow algorithms through different lengths of displacements that exist in video motion of natural objec...

We develop a method for the optical flow computation from a zooming image sequence. The synchronisation of image resolution for a pair of successive images in an image sequence is a fundamental requirement for optical flow computation. In a real application, we are, however, required to deal with a zooming and dezooming image sequences, that is, we are required to compute optical flow from a mu...

In this paper, we develop a free space detection algorithm for the visual navigation of the autonomous robot mounting a catadioptiric omnidirectional imaging system. The algorithm detects the dominant plane as the free space from a sequence of omnidirectional images captured by a camera mounted on the autonomous robot. The dominant plane, which can be detected from the optical-flow field, is th...

Electro-Optical (EO) and Infra-Red (IR) sensors have been jointly deployed in many surveillance systems. In this work we study the special characteristics of optical flow in IR imagery, and introduce an optical flow estimation method using co-registered EO and IR image frames. The basic optical flow calculation is based on the combined local and global (CLG) method (Bruhn, Weickert and Schnorr,...

This paper presents the application of a novel optical flow optimization algorithm for a comprehensive on-road vehicle motion analysis. Optical flow, which contains abundant local motion information, has been extensively studied for vehicle motion estimation in the last decades. How to generate a reliable optical flow at a low computation cost is always a challenging task. The primary aim of th...

Gait classification is an effective and non-intrusive method for human identification. This paper proposes a system to recognize human identity using optical flow features. The distinguishing characteristic of the proposed system is that we only adopt optical flow information and do not consider shape features or other information. The moving object is detected and located from the flow field u...

The information conveyed by optical flow is analytically linked to the observer motion in this paper by decomposing the optical flow field into its vector field components. It is shown that the observer may recover his ego-motion by interpreting the decomposed optical flow field, and he may further utilize his mobility to actively control the shape of the optical flow field, which directly refl...