In this paper, it is proposed an improved method to aim at the illumination vary problem for detecting illegal parking in the surveillance video. The method uses a frame to frame subtraction method for modeling the background, and update it, then using the background subtraction method to get the moving candidates, it can obtain the accurately moving objects after appropriate processing. At the...

Most studies on verticality’s embodiment showed that up positions were related to positive emotions whereas down positions were related to negative ones (Meier & Robinson, 2004). Research on motion perception found that a parabolic motion both induced animation attribution (Tremoulet & Feldman, 2000) and implied negative feelings (Chafi, Schiaratura, & Rusinek, 2012; Podevin, 2009; Podevin, Cha...

In this paper, we have evaluated a noisy speech recognition method based on noise reduction and acoustic model adaptation, on the AURORA2 tasks. For noise reduction method, we employed two noise reduction methods. One is an Adaptive Sub-Band Spectral Subtraction (ASBSS) method which can vary noise subtraction rate according to SNR in frequency bands at each frame. The other is a Kalman filterin...

This paper presents an efficient method for ship target segmentation in infrared (IR) images. It consists of mainly two procedures: iterative image segmentation and ship target selection. First, based on the intensity distribution of an IR image, we design a global background subtraction filter (GBSF) to suppress the background, and an adaptive row mean subtraction filter (ARMSF) to enhance the...

Central elements of adaptive expertise in arithmetic problem solving are flexibility, using multiple strategies, and adaptivity, selecting the optimal strategy. Research shows that strategies children actually use do not fully reflect they know: there is hidden potential. In current study a sample 147 third graders from Netherlands completed comprehe...

An adaptive enhancement method is proposed to improve recognition accuracy on the outputs of blind speech separation (BSS) system based on adaptive decorrelation filtering (ADF) in diffuse noise. A divide and conquer strategy is taken to deal with the noise effects on both system adaptation and ADF outputs. First, fast noise compensation (NC) is performed for filter adaptation, forcing ADF to f...

In this paper, for the modern intelligent video surveillance, we introduce an optimizing motion detection algorithm aim at overcoming the flaw of conventional background subtraction algorithm. We combine adaptive background model in HSV color space with moving object segmentation based on fuzzy clustering to extract moving objects from frame. The adaptive background model is able to restoring t...

object detection plays an important role in successfulness of a wide range ofapplications that involve images as input data. in this paper we have presented anew approach for background modeling by nonconsecutive frames differencing.direction and velocity of moving objects have been extracted in order to get anappropriate sequence of frames to perform frame subtraction. stationary parts ofbackg...