Advantages and drawbacks of two common algorithms often employed in the moving target detection, background subtraction technique and frame distinction methodology are analyzed and compared during this paper. Then supported the background subtraction methodology, a BFSD target detection rule is projected. The background image used to process the next frame image is generated through superpositi...

Advantages and drawbacks of two common algorithms often employed in the moving target detection, background subtraction technique and frame distinction methodology are analyzed and compared during this paper. Then supported the background subtraction methodology, a BFSD target detection rule is projected. The background image used to process the next frame image is generated through superpositi...

We present a background subtraction method that uses multiple cues to robustly detect objects in adverse conditions. The algorithm consists of three distinct levels i.e pixel level, region level and frame level. At the pixel level, statistical models of gradients and color are separately used to classify each pixel as belonging to background or foreground. In region level, foreground pixels obt...

Moving object detection and segmentation is a fundamental technology for video applications. Background subtraction is a basic component step for this task: given a frame in the video sequence, a moving object can be detected by spotting the parts of the frame that do not fit the background model. Therefore, a high performance background modeling and background updating algorithm is crucial for...

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

In this paper we investigate the modulation domain as an alternative to the acoustic domain for speech enhancement. More specifically, we wish to determine how competitive the modulation domain is for spectral subtraction as compared to the acoustic domain. For this purpose, we extend the traditional analysis-modification-synthesis framework to include modulation domain processing. We then comp...

The main objective of this paper is to develop multiple human object tracking approach based on motion estimation and detection, background subtraction, shadow removal and occlusion detection. A reference frame is initially used and considered as background information. While a new object enters into the frame, the foreground information and background information are identified using the refer...

The paper presents the object detection for dynamic texture scenes using illumination based techniques. They are two types of illumination technique. First one is illumination based background subtraction (ILBS) and second one is illumination based frame difference (ILFS). Illumination frame difference is identifying the objects accurately in dynamic texture scene compare to illumination backgr...

Significance: Confocal laser scanning enables optical sectioning in fiber bundle endomicroscopy but limits the frame rate. To be able to better explore tissue morphology it is useful stitch sequentially acquired frames into a mosaic. However, low rates limit maximum probe translation speed. Line-scanning confocal provides higher rates, residual out-of-focus light degrades images. Subtraction ba...