Leben Abraham's : nach Auffassung der jüdischen Sage

mit erläut. Anm. u. Nachweisungen von Bernhard Beer

Bioethics’ Lack in Relation to Person-Centred User-Driven Health Systems Planning: A Call for Change

La tribune de l'éditeur / Editor's Soapbox

Die Leiden des jungen Mose : eine biblische Erzählung

von Oscar Lehmann

Biblische Frauengestalten : Charakterschilderungen für die reifere weibliche Jugend

von B. Jacobsohn

Person tracking using motion detection and optical flow

Person tracking systems to date have either relied on motion detection or optical flow as a basis for person detection and tracking. As yet, systems have not been developed that utilise both these techniques. We propose a person tracking system that uses both, made possible by a novel hybrid optical flow-motion detection technique that we have developed. This provides the system with two methods of person detection, helping to avoid missed detections and the need to predict position, which can lead to errors in tracking and mistakes when handling occlusion situations. Our results show that our system is able to track people accurately, with an average error less than four pixels, and that our system outperforms the current CAVIAR benchmark system.

Adaptive optical flow for person tracking

Person tracking systems are dependent on being able to locate a person accurately across a series of frames. Optical flow can be used to segment a moving object from a scene, provided the expected velocity of the moving object is known; but successful detection also relies on being able segment the background. A problem with existing optical flow techniques is that they don’t discriminate the foreground from the background, and so often detect motion (and thus the object) in the background. To overcome this problem, we propose a new optical flow technique, that is based upon an adaptive background segmentation technique, which only determines optical flow in regions of motion. This technique has been developed with a view to being used in surveillance systems, and our testing shows that for this application it is more effective than other standard optical flow techniques.

The right person, in the right job, with the right skills, at the right time. A workforce-planning model that goes beyond metrics

Purpose – The paper aims to describe a workforce-planning model developed in-house in an Australian university library that is based on rigorous environmental scanning of an institution, the profession and the sector. Design/methodology/approach – The paper uses a case study that describes the stages of the planning process undertaken to develop the Library’s Workforce Plan and the documentation produced. Findings – While it has been found that the process has had successful and productive outcomes, workforce planning is an ongoing process. To remain effective, the workforce plan needs to be reviewed annually in the context of the library’s overall planning program. This is imperative if the plan is to remain current and to be regarded as a living document that will continue to guide library practice. Research limitations/implications – Although a single case study, the work has been contextualized within the wider research into workforce planning. Practical implications – The paper provides a model that can easily be deployed within a library without external or specialist consultant skills, and due to its scalability can be applied at department or wider level. Originality/value – The paper identifies the trends impacting on, and the emerging opportunities for, university libraries and provides a model for workforce planning that recognizes the context and culture of the organization as key drivers in determining workforce planning. Keywords - Australia, University libraries, Academic libraries, Change management, Manpower planning Paper type - Case study

Contemporary examples where doctors are not immune from non-fatal offences against a person

While it is uncontested that the medical profession makes a valuable contribution to society, doctors should not always be beyond the reach of the criminal law and they should not automatically be treated as God. Doctors should act reasonably and be conscious of their position of trust. In this sense, the notion of “doctors” is construed broadly to include a range of health care professionals such as podiatrists, radiographers, surgeons and general practitioners. This paper will explore contemporary Australian examples where doctors have acted inappropriately and been convicted of non-fatal offences against the person. The physical invasiveness involved in these scenarios varies significantly. In one example, a doctor penetrates a patient’s private body part with a probe for their own sexual gratification, and in another, a doctor covertly visually records a naked patient. The examples will be connected to the theories underpinning criminalisation, particularly social welfare and individual autonomy, with a view to framing guidelines on when doctors should not be immune from non-fatal offences against a person, and thus where the criminal law should respond.

How I became the first Aboriginal person in Australia to lead a national education organisation

In this paper, Bronwyn Fredericks reflects on how, in 1997, she became the National President of the Council of Australian Postgraduate Associations Inc. (CAPA). The paper describes the election process faced by Fredericks, and identifies some of her key achievements during her time as National President. In becoming the National President, Bronwyn became the first Aboriginal person in Australia to lead a national education organisation. The story within this paper is told from the author’s autobiographical memory, drawing on the cultural, social and political context in which the story and the author were (and are) situated (Wojecki 2007). In this way the story teller reveals story lines which have not previously been articulated (Wojecki 2007). Throughout this paper, Fredericks ‘re-stories’ her experiences of leadership.

Maintenance person or architect? The role of academic advertising research in building better understanding

This paper suggests that, while advertising has changed, advertising research has not. Indeed, questions asked of advertising research more than 20 years ago have still not been answered. The enormity of change in advertising compounded by the lack of response from researchers suggests the traditional academic advertising research model requires more than routine maintenance. It seeks an architect with vision to redesign an academic research model that is probably broken or badly outdated. Five areas of the academic research approach are identified as needing rethinking: (1) the advertising problem, (2) sample frame and subjects, (3) assumptions regarding consumer behaviour, (4) research methodologies and (5) findings. Suggestions are made for improvement. But perhaps the biggest challenge is academic leadership. This paper proposes the establishment of a blue-ribbon panel to report back on recommended changes or improvements.

Person-independent facial expression detection using constrained local models

In automatic facial expression detection, very accurate registration is desired which can be achieved via a deformable model approach where a dense mesh of 60-70 points on the face is used, such as an active appearance model (AAM). However, for applications where manually labeling frames is prohibitive, AAMs do not work well as they do not generalize well to unseen subjects. As such, a more coarse approach is taken for person-independent facial expression detection, where just a couple of key features (such as face and eyes) are tracked using a Viola-Jones type approach. The tracked image is normally post-processed to encode for shift and illumination invariance using a linear bank of filters. Recently, it was shown that this preprocessing step is of no benefit when close to ideal registration has been obtained. In this paper, we present a system based on the Constrained Local Model (CLM) which is a generic or person-independent face alignment algorithm which gains high accuracy. We show these results against the LBP feature extraction on the CK+ and GEMEP datasets.