In this paper, a homomorphic filtering based change detection algorithm is proposed to detect moving objects from light-varing monocular image sequences. In our approach, a background model is first constructed, and background subtraction is applied to classify image pixels into background or foreground. We utilize illumination invariant local components to model the background, which are obtai...

Background subtraction is a widely used technique for detecting moving objects in image sequences. Very often background subtraction approaches assume the availability of one or more clear frames (i.e., without foreground objects) at the beginning of the image sequence in input. This strong assumption is not always correct, especially when dealing with dynamic background. In this paper, we pres...

This paper describes a method to detect, measure the speed, and extract statistics of boats moving on a wide water surface using a single image stream taken from grayscale camera. The approach is based on a background subtraction technique combined with classification and tracking to improve robustness; it provides a stable detection even with sea waves and strong light reflections. The method ...

A technique of measuring Tc(P) in the diamond anvil cell by the third harmonic of the ac susceptibility (V3 f) is described. It requires no background subtraction and allows the use of gasket materials made from hardened steels. In addition, the observed peak structure in the V3 f vs T data allows regions with different critical temperatures to be distinguished. Results for single crystals ~wit...

An important problem in many computer vision tasks is the separation of an object from its background. One common strategy is to estimate appearance models of the object and background region. However, if the appearance is spatially varying, simple homogeneous models are often inaccurate. Gaussian mixture models can take multimodal distributions into account, yet they still neglect the position...

We compute the galaxy luminosity function in spectroscopically selected nearby groups and clusters. Our sample comprises 728 systems extracted from the third release of the Sloan Digital Sky Survey in the redshift range 0.03 < z < 0.06 with virial mass range 1011 M⊙ < Mvir < 2 × 1014 M⊙. In order to compute the galaxy luminosity function, we apply a statistical background subtraction method fol...

This paper proposes a marker-less motion measurement and analysis system for quantitative evaluation of movements of infants. In this system, movements of infants are measured using a single video camera, and then changes of body position and motion in infants are calculated from binarized images, which are extracted using background subtraction or inter-frame difference. Furthermore, eight ind...

This work deals with a background subtraction algorithm for a fish-eye lens camera having 3 degrees of freedom, 2 in translation and 1 in rotation. The core assumption in this algorithm is that the background is considered to be composed of a dominant static plane in the world frame. The novelty lies in developing a rank-constraint based background subtraction for equidistant projection model, ...

Running average method and its modified version are two simple and fast methods for background modeling. In this paper, some weaknesses of running average method and standard background subtraction are mentioned. Then, a fuzzy approach for background modeling and background subtraction is proposed. For fuzzy background modeling, fuzzy running average is suggested. Background modeling and backgr...

Change detection by background subtraction is a common approach to detect moving foreground. The resulting difference image is usually thresholded to obtain objects based on pixel connectedness and resulting blob objects are subsequently tracked. This paper proposes a detection approach not requiring the binarization of the difference image. Local density maxima in the difference image usually ...