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Disease cost estimation is an important and challenging issue. It serves as the key factor of hospital cost and cost control. It has been a challenge to estimate the disease cost because of the complexity of the disease pathology, individual differences of treatment process, adverse drug reaction, and complications. Especially in some high risk and high noise diseases there is another challenge from...
Distributed renewable energy generations bring to attention the grid-connected inverter with LCL filter, whose control performance can be largely influenced by filter parameter variations. This paper has proposed a “comprehensive-loop-search, pattern-recognition, key-parameter-scan” method to evaluate the parameter variation influence, especially grid-side inductance and filter capacitance variation,...
Binaural sound source localization is an important technique for speech enhancement, video conferencing, and human–robot interaction, etc. However, in realistic scenarios, the reverberation and environmental noise would degrade the precision of sound direction estimation. Therefore, reliable sound localization is essential to practical applications. To deal with these disturbances, this paper presents...
Human action classification, which is vital for content-based video retrieval and human-machine interaction, finds problem in distinguishing similar actions. Previous works typically detect spatial-temporal interest points (STIPs) from action sequences and then adopt bag-of-visual words (BoVW) model to describe actions as numerical statistics of STIPs. Despite the robustness of BoVW, this model ignores...
High-quality image denoising is required for many image processing applications. Our work concentrates on portraying a fast noise process method using PCA referring to weaked textured image patches, with patches generated from the noisy image corrupted by zero-mean Gaussian noise. The main contribution lies in the selection of specified blocks. We adopt a new measurement according to the gradients...
Sound source localization (SSL) is an essential technique in many applications, such as robot audition, human-robot interaction and speech capturing. However, SSL from a binaural input is still a challenging problem, particularly when multiple sources are active simultaneously. In this work, we propose a multi-sources localization framework based on the time-delay compensation (TDC) estimator and...
Facial age estimation is an important and challenging problem in computer vision and pattern recognition. Linear canonical correlation analysis (CCA) has been widely applied owing to low complexity, small and fixed amount of model parameters and good scalability. However, linear CCA based regression gets lower accuracy than its kernel version on the age estimation problem. The inexactness of metric...
Binaural sound source localization is an important technique involving Human-Robot Interaction (HRI), video conference, speech enhancement, etc. In many real application scenarios, especially for closed environments, the affect of reverberation and noise would degrade the precision of position estimations. Therefore, a new binaural sound source localization method based on generalized parametric model...
It's a natural and convenient way for a robot to interact with outside by robot's ears (i.e. microphones) based on correctly detection and recognition of a sound event. This paper considers sound event detection and recognition in indoor environment where there are varying noises around a robot. To handle the problem of varying background noises, a novel sound event detection and recognition system...
Crowd density estimation is important for intelligent video surveillance. Many methods based on texture features have been proposed to solve this problem. Most of the existing algorithms only estimate crowd density on the whole image while ignore crowd density in local region. In this paper, we propose a novel texture descriptor based on Local Binary Pattern (LBP) Co-occurrence Matrix (LBPCM) for...
The restoration quality of a motion-blurred image is highly dependent on the estimation accuracy of the motion blurring parameter. This manuscript presents a novel and precise method for estimation of the motion blurring length, wherein the ringing artifact amount of a deblurred image is measured by energy proportion contained in appropriate frequency bands, and a blurring length with minimum ringing...
Reasonable Slow traffic (non-motor vehicle and pedestrian) travel demand foresting is the premise and foundation of urban traffic intersection optimization. Aimed at dealing with the lack of slow traffic volume estimation at urban intersections while the inherent mixed traffic characteristics of our country, this paper analyzes the latest research on slow traffic demand forecasting from the following...
Turbo equalization schemes based on minimum mean square error (MMSE) criteria available in the literature are computationally involved as they require some form of matrix inversion. In this paper, we propose a low complexity turbo-equalization scheme with successive interference cancellation (TE-SIC) for the equalization of doubly dispersive channels for orthogonal frequency division multiplexing...
With rapid development of information technology, more and more document images are made by scanners. But new problem comes out that many of document images from thick books are warped. It is quite inconvenient for further process on computer. This paper introduces an integrative algorithm on restoring Chinese document images, which is a new filed and few researchers have worked on this subject yet...
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