Most recent motion tracking systems rely on subtraction of a background model from the current frame to leave moving objects segmented. Frame-to-frame correspondence is then used to match segmented regions and track objects. A great number of difficulties are involved in building and maintaining an accurate background model in the face of unpredictable lighting and weather conditions. Further, ...

To reduce the effects of additive noises, spectral subtraction (SS) is often used. We discuss SS on the power spectral domain. This method has two problems to make the estimation of clean speech difficult:(1) There exists the estimation error between true power spectrum of noise and estimated one (2) The correlation between speech and noise also exists because of the phase difference. To overco...

I present a technique to remove the residual OH airglow emission from near infrared spectra. Historically, the need to subtract out the strong and variable OH airglow emission lines from 1–2.5micron spectra has imposed severe restrictions on observational strategy. For integral field spectroscopy, where the field of view is limited, the standard technique is to observe blank sky frames at regul...

This paper describes the importance of GAIT Recognition where identification of human being from far distance without any sort of co-operation from his side is performed. Motive to develop automatic identification of human being using GAIT recognition method that to find an application which provide high security in places such as banking sector, military, parking slots. Work is performed on vi...

We present an analysis of dark current from a complementary metal–oxide–semiconductor (CMOS) active pixels sensor with global shutter. The presence of two sources of dark current, one within the collection area of the pixel and another within the sense node, present complications to correction of the dark current. The two sources are shown to generate unique and characteristic dark current beha...

Background subtraction is a commonly used method to segment moving objects in image sequences. By comparing new frames to a background model, regions of interest can be found. To cope with highly dynamic and complex environments, a Mixture of Gaussian Models technique has been proposed and has gained tremendous popularity. This paper analyzes its performance in typical indoor environments, like...

We propose a method for automatically setting the foreground detection threshold implicit in background subtraction algorithms by measuring the similarity between the shape of a detected foreground region and a set of reference contours over a range of thresholds, and selecting the threshold that maximises this similarity measure. This method is shown to select appropriate thresholds for a rang...

Background modeling of video sequences can be used in many different applications. For video object segmentation it is often applied in a background subtraction method. When conventional sprites like single or multiple sprites are used a background sequence has to be reconstructed from the model. The double mapping into the coordinate system of the sprite and back can lead to severe distortion ...

where Th is the threshold. The foreground image is composed of all foreground pixels. The threshold is computed with the help of the user, who is prompted to place ellipses on the mice that are visible in 7 randomly selected frames. Using this information, the optimal threshold Th for background subtraction is computed by minimizing a cost function that counts false alarms (the number of pixels...

This paper gives an overview of the method for accurately detecting objects in video frames particularly in indoor environment such as safety locker rooms in jewelries. This stream is taken by static camera like web camera which handles scenes with illumination variation and shadows. The motion of the objects is determined for future works. Background subtraction is implemented for getting the ...