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The term "indoor" here refers generally to enclosed space partitioned into subspaces with connecting doors or gates. Examples include the inside of office buildings, amusement parks, and indoor shopping malls. In many applications, it is desirable to keep track of the distribution of people within the enclosed space. These applications range from smart house with automatically controlled...
This paper presents a new variational model through designing a novel regularizing term based on Block Matching and 3-D Filtering (BM3D), which is efficient to denoise speckled images in optical coherence tomography (OCT). In the proposed algorithm, speckle noise is modeled as Rayleigh distribution, which is usually made additive by means of a logarithmic transformation in other digital filtering...
An auditory-based feature extraction algorithm is presented. We name the new features as cochlear filter cepstral coefficients (CFCCs) which are defined based on a recently developed auditory transform (AT) plus a set of modules to emulate the signal processing functions in the cochlea. The CFCC features are applied to a speaker identification task to address the acoustic mismatch problem between...
It is the key to select the appropriate structure elements in the edge detection using morphological gradient operator. A new quantum measurement is proposed in this paper based on quantum collapsing theory in which the possible noisy pixels are collapsed to state 0 while no participating in morphological operation. As the noise intensity increases, the size of the window of the structural elements...
A new removing of the mixed Gaussian and salt-pepper noise algorithm is proposed based on median filtering and grey relational analysis. At first, a median pixel is determined in the filter window. Then the coefficient of the proposed method can be varied adaptively based on degree of the grey relational analysis. Finally, the values of the processed pixel can be calculated. The calculation results...
According to the advantage of median filter and total variation algorithm, a new median filter adaptive total variation model based on part gradient of image pixels is established in the paper. At first, the new model uses the gradient information of every pixel of the image to find out the isolated noise point and then uses the median filter to remove it. Second, the adaptive total variation algorithm...
Most surveillance systems adopt the paradigm that first detect and then track. However, it is hard to determine the most suitable threshold for detection since the surveillance view is unpredictable for an airborne platform. In contrast to the mainstream approach, we propose a novel approach allowing simultaneous detection and tracking. In the proposed scheme, the detection and tracking are not independent...
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