In scenes where there are lighting changes, localization may fail for visual SLAM due to feature point tracking failure. Thus, a method based on multi-condition constraints is proposed SLAM. The tracks the points of optical flow from aspects such as overall motion position points, descriptor grayscale information, and spatial geometric constraints. First, solve problem mismatch in complex envir...

In this paper we propose a method for noise reduction in image sequences, based on the optical flow, consisting in tracking each pixel’s position in the previous and following images. In some cases the optical flow imperfections can cause artifacts. To prevent them we also propose an improvement to the method based on the estimation of the imperfections of the optical flow. Using that estimatio...

In this paper, we show how the use of hard constraints in solving estimation problems, by allowing multiple sources of information to be taken into account during optimization, increases robustness and improves efficiency over alternative methods such as the statistical combination of separate optimizationresults. Our argument is based on an empirical evaluation of the technique which uses a mo...

: Optical separate spatial dark and bright soliton pairs in steady-state case in one dimension, for a series circuit consisting of two-photon photorefractive (PR) crystal are investigated. Each crystal can be supported the spatial soliton, and at least one must be photovoltaic. The two solitons are known collectively as separate spatial soliton pairs with dark–dark, bright–dark and bright–brigh...

This paper presents an approach where the optical flow between frames of video sequences is estimated according to a pel-recursive strategy through the use of a principal component regression (PCR). This is a simple choice when it comes to treat mixtures of motion vectors due to the fact that it is not essential to have too much knowledge on their statistical properties (although they are suppo...

Measuring positions, velocities and accelerations/decelerations of individual vehicles in congested traffic with standard traffic monitoring equipment, such as inductive loops, are not feasible. The behavior of drivers in the different traffic situations, as re-quired for microscopic traffic flow models, is still not sufficiently known. Remote sensing and computer vision technology are recently...

In this paper we compare several optical flow based features in order to distinguish between humans and robots in a mixed human-robot environment. In addition, we propose two modifications to the optical flow computation: (i) a way to standardize the optical flow vectors, which relates the real world motions to the image motions, and (ii) a way to improve flow robustness to noise by selecting t...