Illumination-Invariant Change Detection

نویسندگان

  • Daniel Toth
  • Til Aach
  • Volker Metzler
چکیده

Moving objects in image sequences acquired by a static camera can be detected by analyzing the grey–level difference between successive frames. Direct motion detection, however, will also detect fast variations of scene illumination. This paper describes a method for motion detection that is considerably less sensitive to time–varying illumination. It is based on combining a motion detection algorithm with a homomorphic filter which effectively suppresses variable scene illumination. To this end, the acquired image sequence is modelled as being generated by an illumination and a reflectance component that are approximately separated by the filter. Detection of changes in the reflectance component is directly related to scene changes, i.e. object motion. Real video data are used to illustrate the system’s performance.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Illumination Invariant Shot Boundary Detection

Illumination variation poses a serious problem in video shot detection. It causes false cuts in many shot detection algorithms. A new illumination invariant measure metric is proposed in this paper. The metric is based on the assumption: the outputs of derivative filters to log-illumination are sparse. Thus the outputs of derivative filters to log-image are mainly caused by the scene itself. If...

متن کامل

Estimation of ambient illumination variation between colour images in the presence of content changes for real-time illumination-invariant change detection

The task of detecting changes between two image frames is obstructed by the influence of noise and by the existence of ambient illumination variations between the image frames. The former is an inherent property of all electronic imaging devices. The latter appears when changes in camera exposure or white balance settings occur and tends to degrade the efficiency of change detection, if left un...

متن کامل

Colour-Invariant Motion Detection under Fast Illumination Changes1

This paper tackles the problem of robust change detection in image sequences from static cameras. Motion cues are detected using frame differencing with an adaptive background estimation modelled by a mixture of Gaussians. Illumination invariance and elimination or detection of shadows is achieved by using a colour chromaticity representation of the image data.

متن کامل

An Illumination Invariant Change Detection Algorithm

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...

متن کامل

Bayesian Illumination Invariant Change Detection Using a Total Least Squares Test Statistic

Changes in video data recorded by a static camera can be caused by structural scene changes like motion and by illumination changes. We describe an algorithm which discriminates reliably between structural changes and illumination, thus detecting only ’true’ scene changes. To this end, we derive a new test statistic for change detection based on a Total Least Squares (TLS) approach. The basic i...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000