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The present study investigates the sensitivity of computationnal models of visual attention when subjected to visual degradations. One hundred and twenty natural color pictures were degraded using 6 filtering operations. By using different settings, five state-of-the-art models are used to compute 11400 saliency maps. The comparison of these maps to human saliency maps indicates that the tested models...
Being fast to compute and simple to implement, Local Binary Pattern (LBP) has also shown superior performance in texture classification and face detection. However, it is not well optimized for pedestrian detection. At night/dark environment, pedestrian detection typically needs to overcome problems of low contrast, image blur, and image noise. A novel feature extraction method, consisting of Weighted...
To investigate the effects of Tiscrazy Aroma Concord Parfum (TACP) on autonomous nervous system and job stress. 45 nurses (22±3 years old) were randomly allocated to three groups: a TACP group, a perfume control group, and a saline control group. The coherence scores of each participant in heart rate variability (HRV) determination were recorded were collected before and 20 min after the intervention...
From the fact that human behavior is determined by both miners' intrinsic characteristics and external environment, the factors that may affect human behavior safety in metal underground mining are analyzed. Based on the analysis, countermeasures such as choose eligible miners and optimize environment are proposed, consequently to minimize the adverse effect and maximize the efficiency of miners matching...
The cerebral cortex of the human brain is highly folded. It is useful for neuroscientists and clinical researchers to identify and/or quantify cortical folding patterns across individuals. The top (gyri) and bottom (sulci) of these folds resemble the “blob-like” features used in computer vision. In this article, we evaluate different blob detectors and descriptors on brain MR images, and introduce...
Electrocorticography (ECoG) is an emerging tool to map brain functions in the context of neurosurgical intervention. Previous mapping methods based on the event related power spectrum are prone to noise. To improve the robustness of cortical function mapping, general linear model (GLM), which has been widely used in the analysis of functional magnetic resonance imaging (fMRI) data, is applied to bandpass...
Time series derived from the first two spectral bands of the MODerate-resolution Imaging Spectroradiometer (MODIS) land surface reflectance product can be modelled as a pair of triply (mean, phase and amplitude) modulated cosine functions. This paper proposes a meta-optimization approach for setting the parameters of the non-linear Extended Kalman Filter to rapidly and efficiently estimate the features...
A primary issue in 3D reconstruction is the realtime efficacy of different coding methods for the multiple decisions among competing 3D solutions. A common model framework making such coding decisions is the boundary limited drift-diffusion model, which has been developed in parallel in various branches of science from quantum physics to economics. A common property of all such models is the linear...
In order to understand the effect of environment of different noise frequencies on the change of human physiological responses, this study used Ryodoraku Measurement to measure the change in skin surface resistance to evaluate how four different noise frequencies, 125 Hz, 500 Hz, 2000 Hz and white noise affected the change in autonomic nervous response and the corresponding meridians. The experimental...
Image identification is a new technology in these two decades. This main content of this technology is to study the classification and description of some objects or processes (image in general), while the reasonable application of enhancement algorithm and feature location technology of the image target can effectively increase the accuracy and rate of the image identification. This essay firstly...
One important trend in edge detection starts from current knowledge about the Human Visual System (HVS) in order to mimic some of its components. We follow this trend and propose a new edge detector which also computes the edge visibility for the HVS. Two important processes in the HVS are taken into account: visual adaptation and contrast sensitivity. Our model is in good agreement with some classical...
Postural control is a difficult problem for bipedal robots. Even in robots restricted to the sagittal plane, the system must react to falling forward or backward to stabilize itself during walking, standing, and during initiation and termination of walking. Most robots rely mainly on proprioceptive information such as foot pressure sensors and joint angle sensors for balance. By contrast, humans use...
This paper introduces a tuning algorithm of self-quotient ε-filter (SQEF) and support vector machine (SVM), and its application to noise robust human detection combining SQEF, histograms of oriented gradients (HOG), and SVM. Although human detection combining HOG and SVM is a powerful approach, as it uses local intensity gradients, it is difficult to handle noise corrupted images. On the other hand,...
This paper presents a study about the effects of environmental noise on millimeter sized grippers in cantilever configuration. The study is motivated and conducted aiming at assessing the level of accuracy loss when performing micromanipulation/microassembly tasks in noisy environments as well in typical microrobotics laboratories as in industrial locations or operating rooms. Ground motion and acoustic...
We consider the problem of detecting targets behind walls using radar imaging technology. An image-domain based detection technique is proposed that allows to adapt to specific targets of interest. By doing so, clutter as well as targets of no-interest are strongly reduced in the radar image. The proposed detector is automatic in the sense that no or only little prior knowledge on the image statistics...
Cashiers in retail stores usually exhibit certain repetitive and periodic activities when processing items. Detecting such activities plays a key role in most retail fraud detection systems. In this paper, we propose a highly efficient, effective and robust vision technique to detect checkout-related primitive activities, based on a hierarchical finite state machine (FSM). Our deterministic approach...
Emergency maneuvering systems can take control of a vehicle in high-risk situations caused by distracted, fatigued, or careless drivers, which can reduce the frequency and severity of collisions. But in order to override the user's control the vehicle must reason with uncertain information: sensing provides noisy and partial input, vehicle dynamics models are never perfectly calibrated, and other...
Effects on human vary between uniform and time-varying traffic noise with the same equivalent sound level. Firstly, the subjective evaluation experiment of time-varying traffic noise is designed and implemented in this paper to get truthful data. Secondly, taking the gender, employment and mood factors into account, some conclusions about the effects of traffic noise with different time-varying characteristics...
A noise data processing algorithm based on rigid structure matching for human motion capture (MoCap) is presented in this paper. The noise model is related to parts of human body, but not to trajectories of markers as most used in traditional approaches. Three issues are addressed in this method: rigid structure matching, semantic restriction and noise reduction, and they are three steps of data processing...
In view of the Kirsch edge detection algorithm's shortage, a method of improved Kirsch human face edge detection was proposed. First, this method smoothed the original image with Gaussian filter, calculated its gradient image. Then, this method calculated the gradient image using the improved Kirsch algorithm, and extract edge according T1 and T2 two. Computer simulation experiments indicated that...
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