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This paper aims to present a visual servoing control strategy that uses visual information, acquired by a fiducial system, to solve the regulation to an arbitrary pose problem in differential driven mobile robots. In addition, in order to make this system more robust and immune to occlusion, we will use an Extended Kalman Filter to fuse odometric data and the data acquired from several landmarks....
Due to the superiority in handling label ambiguity, multiple instance learning (MIL) has been introduced into adaptive tracking-by-detection methods to alleviate drift and yields promising tracking performance. However, the MIL tracker assumes that all samples in a positive bag contribute equally to the bag probability, which ignores sample importance. To address this issue, in this paper we propose...
We present an application of a Multiple Instance Learning (MIL) approach to image classification. In particular we focus on a recent MIL method for binary classification where the objective is to discriminate between positive and negative sets of points. Such sets are called bags and the points inside the bags are called instances. In the case of two classes of instances (positive and negative), a...
The popularly used subjective estimator- mean opinion score (MOS) is often biased by the testing environment, viewers mode, domain expertise, and many other factors that may actively influence on actual assessment. We therefore, devise a no- reference subjective quality assessment metric by exploiting the nature of human eye browsing on videos. The participants' eye-tracker recorded gaze-data indicate...
In order to meet the requirement of autonomous navigation in deep space exploration, this paper presents a novel visual navigation method. The visual navigation algorithm based on single feature matching is a common visual method to calculate the attitude and position of a lander. However, the algorithm based on feature line matching or crater matching is great limited due to the feature line extracted...
Removing undesired reflections from a photo taken in front of a glass is of great importance for enhancing the efficiency of visual computing systems. Various approaches have been proposed and shown to be visually plausible on small datasets collected by their authors. A quantitative comparison of existing approaches using the same dataset has never been conducted due to the lack of suitable benchmark...
Vibrotactile stimulation to the gluteal or back regions through seats is a promising approach to deliver supplemental information to humans. Designing a method to achieve pleasant vibrotactile stimuli was addressed in this study, as such stimuli tend to result in unpleasant experiences for users. In particular, we investigated the properties of continual vibrotactile stimulation to the gluteal region...
The role of machine vision detection technology as the core component in the surface mount technology devices (SMDs) cannot be denied. Single in-line package chip is an important type in IC chips and its leads forms varies a lot. This paper proposes an efficient method to soft measure single in-line package chips position and orientation. Chip image is taken by the industrial camera in the form of...
In the context of Visualization, Multidimensional Projection techniques are employed to show similarity relations among instances of a multidimensional dataset. Distinct projection techniques use different approaches to perform the dimensionality reduction and, consequently, different metrics are employed to assess projection quality according to similarity and structures preservation. Usually, quality...
At disaster sites, the use of Micro Unmanned Aerial Vehicles (MUAVs) is expected for human safety. One application is to support first-phase emergency restoration work conducted by teleoperated construction machines. To extend the operation time of a MUAV, the authors proposed a powerfeeding tethered MUAV to provide an overhead view of the site to operators. The target application is to be used outdoors,...
Binary classification is one of the most frequent studies in applied machine learning problems in various domains, from medicine to biology to meteorology to malware analysis. Many researchers use some performance metrics in their classification studies to report their success. However, the literature has shown a widespread confusion about the terminology and ignorance of the fundamental aspects behind...
The vision is considered the most important sense in humans, the visual field may be affected by various diseases or conditions that can even be congenital, resulting in a high percentage of people with visual problems, low vision to blindness. In the majority of cases can be corrected with conventional methods, however, if a suitable control could be prevented and up to early detection of various...
The engineering disciplines of industrial engineering, engineering management, and systems engineering are replete with abstract concepts without physical representations that are inherently difficult to learn. Hence, this study is motivated by engineering students' inability to understand abstract concepts and the need for continuous improvement of student learning. In this study, in the context...
The use of cognitive maps in support of solving practical problems of analysis of ill-structured situations and large-scale systems in economics, medicine, ecology, education and military-political sphere is growing. The problem of visual perception and understanding of cognitive maps is proven to be extremely urgent and practically important. The set of visualization methods that provide better perception...
Monocular ORB-SLAM has been proved to be one of the best open-source SLAM method. However, it is still unsatisfying especially in low illumination indoor environment, which is caused by scale recovery and wrong feature matching. In this paper, we proposed a vehicle model based monocular ORBSLAM method supplemented by April-Tag to improve the performance of original algorithm. This approach is practical...
Salient object detection aims to correctly highlight the most salient object(s) in an image. Combining fine-grained contrast prior with rough-grained object consistency, this paper proposes a Focusness Guided Salient object detection (FGS) algorithm. To obtain clean and precise contrast map, FGS uses the focusness prior to guide the contrast map. Combing different saliency priors, FGS utilizes a unified...
In this paper, we propose a computational modeling method to investigate head-eye coordination in face-to-face behavior. The method looks into probability density of individuals' head orientation during looking at others' face. We conducted experiment under two different scenarios in human-human interaction. Under each scenario, individuals' head orientation could be fitted with one Gaussian distribution...
The paper is concerned with the experimental and numerical investigations of a laminar jetting flow impacting immersed convex bodies, the so called Coanda effect. Numerical solutions of the coupled Navier-Stokes and diffusion equations are obtained for Hele-Shaw flow configurations, particularly designed to analyze the studied phenomenon, related to the spreading of a solute by an immersed water jet...
For the image of present surface defects in steel plates, a surface defect detection method based on human visual attention mechanism is proposed. Based on the physiological structure and function of human visual system, this paper establishes a steel surface defect detection model via Gaussian filter, Gabor filter and the calculation such as cross-scale reduction, cross-scale addition and normalization,...
Mobile robotics became an important knowledge area. Led by the technological advances, the life spectancy increases, rising the senior citizens ratio. At the same hand, the cities growth turn on a more intense and dangerous traffic. Autonomous mobile robots can help in these situations, but still have a jeopardized application. In this sense, this work presents a contribution to development of nonholonomic...
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