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As one of the most important achievements during the last decade in product lifecycle management (PLM), contextual object definition became main integrating factor in product models. In this paper, the authors introduce their recent results in contextual product modeling. Four aspects of contextual product object definition are discussed and recent related results are introduced. The aspects are contextual...
In this paper we propose a probabilistic model to parameterize human interactive behaviour from human motion. To Support the model taxonomy, we use Laban Movement Analysis (LMA), proposed by Rudolph Laban [11], to characterize human non-verbal communication. In interpersonal communication, body motion carries a lot of meaningful information, useful to analyse group dynamic behaviors in a wide range...
We propose a framework that performs action recognition and identity maintenance of multiple targets simultaneously. Instead of first establishing tracks using an appearance model and then performing action recognition, we construct a network flow-based model that links detected bounding boxes across video frames while inferring activities, thus integrating identity maintenance and action recognition...
We outline the retrieval of images from a network of security cameras by means of an attribute-based query. Our approach is based on detectors for several object classes which enable combined queries to retrieve people based on characteristic pieces of luggage. The approach works independently of camera recording frame rates since it does not rely on tracking or background assumptions, and it requires...
In the last decade the shift of information and communication systems from a purely system level to the social level is already observable. However, the integration of social / cognitive aspects into so-called social computing is not an easy task due to conceptual differences in domains. A Socio-Technical System (STS) is a recent term intending to differentiate between a social system mediated by...
Clustered dot ordered dithering (CDOD) is one paradigm of digital half-toning that is employed for systems which cannot produce more than two levels at display. The conventional CDOD results in major limitations i.e. visually objectionable periodic patterns, false contouring and blurred appearance of the half-tone images. Cluster generation using artificial intelligence may be a potential solution...
This paper describes a method by which a massive multi-agent system can be influenced without resorting to micromanagement. This method could be utilized in the development of meta-reasoning components of individual agents. Agents in the system adopt the traits of their successful peers. The administrator guides this spread of traits through selectively injecting influential agents with modified traits...
Human conversation is the best example of loosely coupled distributed communication known to man. This study specifically considers those parts of the human conversation that show evidence of dynamism and attempts to model these parts with the objective of translating the knowledge of conversational dynamics into the domain of computerised distributed systems. The discipline of metaphorical modelling...
Assessing concept similarity is an importance activity in ontology engineering. In this paper, a new similarity measure model is proposed, in which the information content of meet-irreducible elements is employed to evaluate the similarity degree of the two concepts of concept lattice. The proposed method combines featural and structural information into decision and preserves more structure information...
We propose a new type of saliency - context-aware saliency - which aims at detecting the image regions that represent the scene. This definition differs from previous definitions whose goal is to either identify fixation points or detect the dominant object. In accordance with our saliency definition, we present a detection algorithm which is based on four principles observed in the psychological...
We address the problem of estimating pose in a static image of a human performing an action that may involve interaction with scene objects. In such scenarios, pose can be estimated more accurately using the knowledge of scene objects. Previous approaches do not make use of such contextual information. We propose Pose Context trees to jointly model human pose and object which allows both accurate...
Today, many trust models do exist which are based on bayesian systems, discrete values or the probability theory. Some of them are generic while others are specifically designed for certain applications such as p2p or ecommerce. What all these models have in common is the intention to map the human understanding of trust in a computational model. Some aspects of trust such as the direct trust towards...
CIRC is an automated theorem prover based on the circular coinduction principle. The tool is used for the verification of programs, behavioral equivalence checking, and proving properties over infinite data structures. In this paper we present two extensions of CIRC that handle the case when the prover indicates an infinite execution for a certain goal. The first extension involves goal simplification...
Translating knowledge discovered from a database to the form of rule-based representation is a critical step for human decision making. In order to realize such key step, firstly, an approach of using the concept lattice to extract the association rules is proposed. Moreover, the previous extracted rules are integrated with decision maker's subjective preference information to confirm the desirable...
In this paper, human behaviour, its context and the dynamics of their interplay are interpreted in terms of clusters of activities with a focus and corresponding aspects. These are considered to occur in the realms of objective/subjective continuum of behaviour and the realms of contextual certainty/uncertainty continuum. Furthermore, activities are clustered using their dynamics and facilitating...
There has been steady effort to modelize or recognize human action in fields of computer visions or mechanical learning, which should lead to fruitful results. This study presents how to extract key postures that can explain human actions within video sequence. To detect key postures that can differentiate human actions significantly, we select key posture candidates using information entropy which...
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