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Recently, 3D body shape information is widely effective in various applications and markets such as apparel industry or health management. However, existing techniques to obtain 3D body shape have been highly expensive and complex, or not performed modeling despite required anatomical information. We propose a simple system for obtaining 3D body shape using only a few photos captured by users themselves...
Facial asymmetry is an important characteristic used in a number of applications. It plays a vital role in human perception of attractiveness and as such has been used in psychology including research on facial expressions evaluation as well as in plastic surgery and orthodontics. It has been also recognized as a biometric feature used for identification and has important applications in detection...
This work investigates a semantic-driven human detection algorithm, which employs global human template matching to inspire the local features based Adaboosting algorithm. We use distance transform to analyze distances between training samples and human contour template to obtain a classifier based on human outline features. At the training stage, the global outline feature will be coordinated into...
Webbles are the most recent form of IntelligentPad. Webbles are objects in a browser window that allow for direct manipulation by drag and drop. One may pick up any Webble and move it over any other one for operational combination. The new Webble is plugged into the previous one and data between them flow through predefined slots. Human users may freely reconfigure the slot connections of Webbles...
CAPTCHAs are popularly used techniques to distinguish humans and automated applications. Such techniques are often useful in banking transactions, email creation, online surveys, data downloads etc. Starting from a very primitive stage of providing the users with a simple alphabetical string to asking using to do complex calculations, CAPTCHAs have come a long way in terms of sophistication of human-bot...
Crowd counting and density estimation is still one of the important task in video surveillance. Usually a regression based method is used to estimate the number of people from a sequence of images. In this paper we investigate to estimate the count of people in a crowded scene. We detect the head region since this is the most visible part of the body in a crowded scene. The head detector is based...
The concept of a bipolar query, meant as a database query that involves both mandatory and optional conditions, is discussed from the point of view of, first, flexible database querying and, second, some newer approaches to decision making involving affects and judgments, unconventional multicriteria decision making and the modeling of sophisticated user's intentions and preferences of a positive...
We propose a new method for audio-visual sensor fusion and apply it to automatic aggression detection. While a variety of definitions of aggression exist, in this paper we see it as any kind of behavior that has a disturbing effect on others. We have collected multi- and unimodal assessments by humans, who have given aggression scores on a 3 point scale. There are no trivial fusion algorithms to predict...
In this work we use hand configuration and contact points during in-hand object exploration to identify the manipulated objects. Different contact points associated to an object shape can be represented in a latent space and lie on a lower dimensional non-linear manifold in the contact points space which is suitable for modelling and recognition. Associating and learning hand configurations to specific...
Several concepts from traditional research on Artificial Intelligence (AI) need to be trained before they can be used. For example, when applied to a computer game, its AI framework has to “learn” how the game should be played. However, such trainings may not be trivial due to the often complex game world environments. This paper presents a novel training approach for game AI frameworks where, instead...
Motifs comparison plays a key role in clustering of redundant motifs and mapping motifs to transcription factors from previously characterized motif databases. Most of existed algorithms decompose the similarity of two motifs into the sum of similarities of aligned positions using position-independence assumption. However it is unreasonable to compare two motifs with vast difference in length. In...
This paper describes the analyses of the prosody of Vietnamese emotional speech, accomplished to find the relations between prosodic variations and emotional states in Vietnamese speech. These relations were obtained by investigating the variations of prosodic features in Vietnamese emotional speech in comparison with prosodic features of neutral speech. The analyses were performed on a multi-style...
Slang is one of the problems encountered in developing Lexical Database. There is no complete source officially for slangs in any language. This research attempts to create a list of Indonesian slangs using the proposed framework and methodology. The contents for slangs are generated by Twitter; therefore it can encounter the newest slangs available in the society.
Studies show that, increased commercialization of education has made higher education very expensive. It will be beneficial if teachers having proficiency in the irrespective disciplines share their knowledge with the students, unable to afford higher education. However, evaluating large number of students online is very tedious and cumbersome task. Thus, it needs the automation of the evaluation...
Robust gait recognition is a challenging problem, due to the large intra-subject variations and small inter-subject variations. Out of the covariate factors like shoe type, carrying condition, elapsed time, it has been demonstrated that clothing is the most challenging covariate factor for appearance-based gait recognition. For example, long coat may cover a significant amount of gait features and...
Electrocardiogram (ECG) as a biological information, it has some special feature. Different people will have different ECG information, even one person has different ECG when he is under different body state. In this paper we use the Electrocardiogram (ECG) to identify disease or to detect different person. Firstly, we collect the ECG information form different body state of the different people....
In this paper, we propose a system to collect human behavior in detail with higher-level tags such as attitude, accompanying-person, expenditure, tasks and so on. The system makes it possible to construct database to model higher-level human behaviors that are utilized in context-aware services. The system has two input methods, i.e., on-the-fly by a smart phone and post-processing by a PC browser...
this paper presents an LMS centered instructional design approach by focusing on an original process for the identification and the formalization of the instructional language of LMS systems. This process takes into account two complementary viewpoints: the user-centered viewpoint based on the Human Machine Interfaces (HMI) analysis and the techno-centered viewpoint primarily based on the database...
This paper addresses the problem of extracting perceptually dominant color names of images. Our approach is motivated by the principle that the pixels corresponding to one dominant color name identified by human are often context dependent, spatially connected and form a perceptually meaningful region. Our algorithm first learns the probabilistic mapping from a RGB color to a color name. Then, a double-threshold...
Automatic assessment of image quality in accordance with the human visual system (HVS) finds application in various image processing tasks. In the last decade, a substantial proliferation in image quality assessment (IQA) based on structural similarity has been observed. The structural information estimation includes statistical values (mean, variance, and correlation), gradient information, Harris...
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