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This paper presents an approach to address conflicting motion tasks in multi-objective control of virtual humans. The novelty in our approach is that we can handle the inequality constraints and maintain the passivity as well. The targets associated with lower priority tasks are constrained so as to guarantee that the higher priority tasks can be sufficiently fulfilled. The multi-objective controller...
Conventional saliency analysis methods measure the saliency of individual pixels. The resulting saliency map inevitably loses information in the original image and finding salient objects in it is difficult. We propose to detect salient objects by directly measuring the saliency of an image window in the original image and adopt the well established sliding window based object detection paradigm.
In surveillance videos, the task of tracking multiple people is of primary importance and is often a preliminary step before applying higher-level algorithms, e.g. to analyze interactions or to recognize behaviors. In this paper, we take a tracking-by-detection approach and formulate multi-person tracking as a statistical data association problem which seeks for the optimal label field in which detections...
The regulation of human behavior by institutions can be deemed as a process of social choice, in which specific social choice rules attain the objective of institution design by governing human choices. This paper provides a new framework of institution design — institution design based on social choice, which avoids the “black box” dilemma in institution design. The paper discusses the key issues...
In 3G long term evolution (LTE) systems, the random access channel (RACH) is used for initial access, resource request, and handover. Since the random access delay is determined by the arrival rate of the random access preambles and the number of RACH subframes, we should configure the number of RACH subframes given the arrival rate in order to guarantee the delay performance. In this work, by carefully...
The human opinion formation can be understood as a social approach to optimization. In the real world, the opinions encode a candidate solution, which is evaluated by a complex and unknown fitness function. The computer models of such processes can be slightly modified by introducing a fitness value, which leads to novel family of optimization techniques. This paper demonstrates how the novel algorithms...
This paper demonstrates the research results obtained for the application of Differential Evolution (DE) algorithm in a well known real time strategy game, namely Warcraft 3. The DE algorithm is one of the global optimizers that commonly used in solving real-time problems. In this work, the DE algorithm is combined with the conventional feed-forward artificial neural network in optimizing the solutions...
The human arm may be considered to be a redundant mechanism given a pointing task. As a result, multiple arm configurations can be used to complete a pointing task in which the tip of the index finger is brought to a preselected point in space. A kinematic model of the human arm with four degrees of freedom (DOF) and the synthesis of two criteria were developed as an analytical tool for studying position...
In this paper, the design and development of a novel low-cost, non-invasive type sensor suitable for human breath sensing is reported. It can be used to detect respiratory disorders like bronchial asthma by analyzing the recorded breathing pattern. Though there are devices like spirometer to diagnose asthma, they are very inconvenient for patient's use because patients are made to exhale air through...
One of the main issues in human-robot interaction is to control the forces arising from physical interaction. In this work, it is proposed an optimal admittance force controller for safe physical human-robot interaction (pHRI), which is obtained using optimization tools. First, the performance index of the optimization problem is proposed as the weighted sum of the force tracking error and its time...
In Programming by Demonstration (PbD), one of the key problems for autonomous learning is to automatically extract the relevant features of a manipulation task, which has a significant impact on the generalization capabilities. In this paper, task features are encoded as constraints of a learned planning model. In order to extract the relevant constraints, the human teacher demonstrates a set of tests,...
We propose a bilateral symmetry Gabor Wavelet Network (BSGWN) for face modeling and online tracking. Bilateral symmetry wavelet pairs reduce the computational complexity of the BSGWN optimization and yield robust tracking performance in real world environments. We decompose face image into a set of frequency components. The face model of Gabor wavelets is built on the reconstructed image from corresponding...
In an exhibition space, it is possible to control human flow implicitly by changing a layout of exhibits. The objectives of this paper are the layout optimization of exhibits to reduce congestion and the amenity space design. For these purposes, macro modeling of human swarm behavior and the optimization method of a layout of exhibits are required. So far, human swarm behavior has been modeled by...
This paper proposes an operation management system to analyze operating workflows as preliminary step for the continual improvement of them. To provide highly dependable and cost effective services, telecom operators must decrease human errors and operational costs. It is common for the operators to conduct operating procedures by following predefined operational workflows. However, it is difficult...
Domestic tasks such as grasping or navigation for robotic systems can be supported by vision. However, the environment provides a vast amount of visual information and concentrating on the information related to the task being undertaken is an important job. Active vision is an approach that provides such a filtering mechanism by using camera movements to bring relevant information into the focus...
It is an important issue to make a disaster reduction plans for overcrowded population in the urban cities. In this paper, we focus on evacuation guidance to prevent the damage from spreading. The personal navigation system cannot deal with evacuation guidance for the human crowd with large numbers of individuals because of time constraints and extraordinary communication error. An implicit guidance...
In the conventional rate distortion optimization (RDO) video coding, the measure of distortion is mainly from the perspective of signal processing, while dose not fully take into account the characteristics of visual perception. People have concerns about not only the information of independent pixels, but also the temporal and spatial correlations between them. For different video content, human...
View, appearance and pose variations make it difficult to detect human objects only by using linear classification methods. Inspired by the successful applications of L1-norm minimization learning (LML) for human detection, we propose a new nonlinear L1-norm minimization learning method (NL-LML). It integrates a nonlinear transformation with an LML optimization model for human detection. The NL-LML...
A Cultural Algorithm (CA) rooting from simulation of evolution of human being society, provides a new computable framework of Evolution Algorithms. Concept of CA is more easily understood and more accuracy to reflect evolution process of society than some other optimization algorithms. CA has been successfully applied to much engineering. Firstly, this paper depicts natural explanation about CA. Secondly,...
This paper defines a potential of logistics system with regard to appropriate criteria and provides original model of logistics system allowing optimization of its potential. Model maps logistics task, system resources, system structure and characteristics of all elements. The results of static optimization of potential of logistics system performed with given approach are presented.
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