950 resultados para human-action recognition


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We present results on the recognition of intentional human gestures for video annotation and retrieval. We define a gesture as a particular, repeatable, human movement having a predefined meaning. An obvious application of the work is in sports video annotation where umpire gestures indicate specific events. Our approach is to augment video with data obtained from accelerometers worn as wrist bands by one or more officials. We present the recognition performance using a Hidden Markov Model approach for gesture modeling with both isolated gestures and gestures segmented from a stream.

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In surveillance systems for monitoring people behaviours, it is important to build systems that can adapt to the signatures of people's tasks and movements in the environment. At the same time, it is important to cope with noisy observations produced by a set of cameras with possibly different characteristics. In previous work, we have implemented a distributed surveillance system designed for complex indoor environments [1]. The system uses the Abstract Hidden Markov mEmory Model (AHMEM) for modelling and specifying complex human behaviours that can take place in the environment. Given a sequence of observations from a set of cameras, the system employs approximate probabilistic inference to compute the likelihood of different possible behaviours in real-time. This paper describes the techniques that can be used to learn the different camera noise models and the human movement models to be used in this system. The system is able to monitor and classify people behaviours as data is being gathered, and we provide classification results showing the system is able to identify behaviours of people from their movement signatures.

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The two-dimensional Principal Component Analysis (2DPCA) is a robust method in face recognition. Much recent research shows that the 2DPCA is more reliable than the well-known PCA method in recognising human face. However, in many cases, this method tends to be overfitted to sample data. In this paper, we proposed a novel method named random subspace two-dimensional PCA (RS-2DPCA), which combines the 2DPCA method with the random subspace (RS) technique. The RS-2DPCA inherits the advantages of both the 2DPCA and RS technique, thus it can avoid the overfitting problem and achieve high recognition accuracy. Experimental results in three benchmark face data sets -the ORL database, the Yale face database and the extended Yale face database B - confirm our hypothesis that the RS-2DPCA is superior to the 2DPCA itself.

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This paper details research that will explore the analysis of human behaviour via video surveillance. Digital computer images will be obtained from video footage of a real world scene, and positions of people in the scene will be identified and tracked through each frame in the sequence.

The noted positions will build into a pattern of motion that can be examined and classified. It is proposed that specific events, such as panic or fight situations, will have unique, and therefore identifying, characteristics that will enable automatic detection of such events.

It is envisaged that active cameras will be used when a situation of interest occurs, to enable more information to be extracted from the scene (e.g., panning to follow action, or zooming to enhance detail.)

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The present article investigates the linkages between conserving cultural heritage, maintaining cultural diversity and enforcing human rights. While there seems to be a growing awareness of these linkages in international heritage and human rights circles, they remain poorly understood by many heritage practitioners who see their conservation work merely as a technical matter. The article argues that it is essential for practitioners engaged in heritage conservation projects to understand the broader economic, political and social context of their work. However, heritage scholars and teachers, too, need to recognise that there can be many motives behind official heritage interventions, that such action is sometimes taken primarily to achieve political goals, and that it can undermine rather than strengthen community identity, cultural diversity and human rights. Such a reorientation is an extension of the paradigm shift in which heritage is understood as cultural practice. In this more critical heritage studies discipline human rights are brought to the foreground as the most significant part of the international heritage of humanity.

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Researchers report that successful cultural change in an organization is difficult to achieve. This research contends that it is more likely to be successful when a systemic approach to strategic human resource management (SHRM) is used to facilitate the change. The contention was tested in an action research case study and longitudinal assessment of change in a large Australian public sector agency. A clear finding from this research is that the cultural change had been sustained through the systemic application of SHRM.

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Network technologies are very desirable for social action, allowing activists to achieve more with less, more quickly and with broader impact; on the other hand, the very advantages they bring are equally important to the world of contemporary capitalism that social action seeks to change. Thus, we must look beyond network technologies as the easy solution to every problem, and focus instead on the human relationships which might be enabled by them. This focus on relationships requires us to ‘de-tool’ information technology. Instead, for social action, it is more valuable to think of networked computing as part of the environment within which action can occur; an important purpose for such action; and as a medium that nurtures expression and engagement of self and belief.

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This paper explores questions about the value of human rights-based approaches in supporting the engagement and empowerment of young people. It will examine how rights-based approaches allow education about human rights to take on the characteristics of transformative learning, with consequences for increased possibilities of engagement of young people in positive social action both inside and outside the school setting. Key characteristics of rights-based approaches are introduced and their connection to skills supporting empowerment examined. Case studies of rights-based approaches from around the globe drawn from a wide spectrum of countries (including both north and south) are used to illustrate both positive effects and explore challenges and limitations. The work discussed in this paper sits at the intersection of education, public health and health promotion, and is underpinned by values of social justice, equity and participation.

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While assisted reproductive treatment using donated gametes is widespread, and in many places, widely accepted, it has historically been shrouded in secrecy. Over time, however, there has been an increasing call from donor-conceived people, recipient parents and some donors to end the secrecy, and to release identifying information about donors to donor-conceived people. "Rights-based" arguments have at times been used to justify this call. This article examines whether a human rights framework supports the release of information and how such a framework might be applied when there are competing rights. It argues that the current balancing approach used to resolve such issues weighs in favour of release. Legal action has the potential to be legitimate and justifiable. A measure such as a contact veto system, which would serve to prevent unwanted contact with the person lodging the veto (either the donor or the donor-conceived person), would ensure proportionality. In this way, both donor-conceived people's rights to private life, identity and family, and donors' rights to privacy may be recognised and balanced.

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Public installation running throughout the night at Cube 37 gallery. Morphing forms are projected onto the glass front of the gallery, facing the street. Human perticipants interact with the forms whose morphology changes with the movements of the participants. When no human participants are present, a neural network based agent that has learnt how to dance from a trained dancer, takes over and the forms follow the agent's movement.

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This article describes the contribution of creativity to human development in the new nation of Timor-Leste, exemplified in a case study of community art centre Afalyca. By taking a creative approach to the challenges of life in his developing country, the young leader of this enterprise, Marqy da Costa, is realising his own potential more fully and offering enriching experiences to others. The impact of his centre on a range of stakeholders, including staff, participants and the wider community is discussed. For participants, the outcomes of their involvement include enjoyable opportunities for creative expression; valued recognition from national and international audiences; the broadening of life experience to encompass new possibilities for self-actualisation; skill development and income from employment and sales.

The factors that have contributed to Afalcya's creative achievements are examined. These include inspiration and assistance received from organisations and individuals in and outside of Timor, family support, and the age and gender of leaders. Also significant are founder Marqy's personal characteristics of artistic talent, social and language skills, love of learning, persistence and conciliatory approach to conflict. Barriers to the realisation of Afalcya's potential include lack of systemic recognition of the value of creativity for sustainable development, unsupportive bureaucracy and gender related restrictions of participation for women. The potential for similar initiatives to contribute to a positive future for Timorese people is explored.

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Artificial neural networks are an effective means of allowing software agents to learn about and filter aspects of their domain. In this paper we explore the use of artificial neural networks in the context of dance performance. The software agent’s neural network is presented with movement in the form of motion capture streams, both pre-recorded and live. Learning can be viewed as analogous to rehearsal, recognition and response to performance. The interrelationship between the software agent and dancer throughout the process is considered as a potential means of allowing the agent to function beyond its limited self-contained capability.

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This article uses the case of the Nubians in Kenya as an ethnic minority, and the 2009 Kenyan census as a particular form of recognition, to engage in a particular aspect of the debates surrounding the politics of recognition: the perceived competitive nature of the relationship between national and subnational groups, in this case ethnic groups. Using data obtained during a 6-month qualitative study conducted over the census period, this paper evaluates the response of some members of the Nubian community to their participation in the census, focusing on its most controversial question, ‘What tribe are you?’ The article concludes that the dynamic between ethnic and national identities and allegiances, when the former are recognized, can be the site of agency, participatory citizenship, and therefore also democratic equality, action and interaction.