Adaptive Fusion Of Particle Filtering And Spatio-Temporal Motion Energy For Human Tracking

Object tracking is an active research area nowadays due to its importance in human computer interface, teleconferencing and video surveillance. However, reliable tracking of objects in the presence of occlusions, pose and illumination changes is still a challenging topic. In this paper, we introduce a novel tracking approach that fuses two cues namely colour and spatio-temporal motion energy within a particle filter based framework. We conduct a measure of coherent motion over two image frames, which reveals the spatio-temporal dynamics of the target. At the same time, the importance of both colour and motion energy cues is determined in the stage of reliability evaluation. This determination helps maintain the performance of the tracking system against abrupt appearance changes. Experimental results demonstrate that the proposed method outperforms the other state of the art techniques in the used test datasets.

Dense Multiperson Tracking with Robust Hierarchical Linear Assignment

We introduce a novel dual-stage algorithm for online multi-target tracking in realistic conditions. In the first stage, the problem of data association between tracklets and detections, given partial occlusion, is addressed using a novel occlusion robust appearance similarity method. This is used to robustly link tracklets with detections without requiring explicit knowledge of the occluded regions. In the second stage, tracklets are linked using a novel method of constraining the linking process that removes the need for ad-hoc tracklet linking rules. In this method, links between tracklets are permitted based on their agreement with optical flow evidence. Tests of this new tracking system have been performed using several public datasets.

Efficient tracking of human poses using a manifold hierarchy

In this paper a 3D human pose tracking framework is presented. A new dimensionality reduction method (Hierarchical Temporal Laplacian Eigenmaps) is introduced to represent activities in hierarchies of low dimensional spaces. Such a hierarchy provides increasing independence between limbs, allowing higher flexibility and adaptability that result in improved accuracy. Moreover, a novel deterministic optimisation method (Hierarchical Manifold Search) is applied to estimate efficiently the position of the corresponding body parts. Finally, evaluation on public datasets such as HumanEva demonstrates that our approach achieves a 62.5mm-65mm average joint error for the walking activity and outperforms state-of-the-art methods in terms of accuracy and computational cost.

Vehicle-barrier tracking of a scaled crash test for roadside barrier design

In this paper the tracking system used to perform a scaled vehicle-barrier crash test is reported. The scaled crash test was performed as part of a wider project aimed at designing a new safety barrier making use of natural building materials. The scaled crash test was designed and performed as a proof of concept of the new mass-based safety barriers and the study was composed of two parts: the scaling technique and of a series of performed scaled crash tests. The scaling method was used for 1) setting the scaled test impact velocity so that energy dissipation and momentum transferring, from the car to the barrier, can be reproduced and 2) predicting the acceleration, velocity and displacement values occurring in the full-scale impact from the results obtained in a scaled test. To achieve this goal the vehicle and barrier displacements were to be recorded together with the vehicle accelerations and angular velocities. These quantities were measured during the tests using acceleration sensors and a tracking system. The tracking system was composed of a high speed camera and a set of targets to measure the vehicle linear and angular velocities. A code was developed to extract the target velocities from the videos and the velocities obtained were then compared with those obtained integrating the accelerations provided by the sensors to check the reliability of the method.

Tracking Change in Northern Ireland Policing: Temporal Phases and Key Themes

Purpose
– The purpose of this paper is to explore and explain the change process in Northern Ireland policing through an analysis of temporally bracketed change phases and key change delivery themes ranging from 1996 to 2012.

Design/methodology/approach
– The research approach adopted is process based, longitudinal and multi-method, utilising “temporal bracketing” to determine phases of change and conjunctural reasoning to unravel the systematic factors interacting over time, within the case.

Findings
– The paper identifies and temporally brackets four phases of change: “Tipping point”; “Implementation, Symbolic Modification and Resistance”; “Power Assisted Steering”; and “A Return to Turbulence”, identifies four themes that emerge from RUC-PSNI experience: the role of adaptive leadership; pace and sequencing of change implementation; sufficient resourcing; and the impact of external agents acting as boundary spanners, and comments on the prominence of these themes through the phases. The paper goes on to reflect upon how these phases and themes inform our understanding of organisational change within policing organisations generally and within politically pressurised transition processes.

Originality/value
– The contribution of the paper lies in the documentation of an almost unique organisational case in an environmentally forced change process. In this it contains lessons for other organisations facing similar, if less extreme challenges and presents an example of intense change analysed longitudinally.

Enhancing Linear Programming with Motion Modeling for Multi-target Tracking

In this paper we extend the minimum-cost network flow approach to multi-target tracking, by incorporating a motion model, allowing the tracker to better cope with longterm occlusions and missed detections. In our new method, the tracking problem is solved iteratively: Firstly, an initial tracking solution is found without the help of motion information. Given this initial set of tracklets, the motion at each detection is estimated, and used to refine the tracking solution.
Finally, special edges are added to the tracking graph, allowing a further revised tracking solution to be found, where distant tracklets may be linked based on motion similarity. Our system has been tested on the PETS S2.L1 and Oxford town-center sequences, outperforming the baseline system, and achieving results comparable with the current state of the art.

Identification and output tracking control of Hammerstein systems through wireless networks

his paper investigates the identification and output tracking control of a class of Hammerstein systems through a wireless network within an integrated framework and the statistic characteristics of the wireless network are modelled using the inverse Gaussian cumulative distribution function. In the proposed framework, a new networked identification algorithm is proposed to compensate for the influence of the wireless network delays so as to acquire the more precise Hammerstein system model. Then, the identified model together with the model-based approach is used to design an output tracking controller. Mean square stability conditions are given using linear matrix inequalities (LMIs) and the optimal controller gains can be obtained by solving the corresponding optimization problem expressed using LMIs. Illustrative numerical simulation examples are given to demonstrate the effectiveness of our proposed method.

Interprofessional Healthcare Collaboration on the Front Lines: A Qualitative Exploration of the Facilitators and Barriers to Effective Collaboration in Qatar.

Background:
Healthcare in Qatar is undergoing a period of major reform, driven by a strong economy and vision for a world-class healthcare system. One area identified as a potential contributor to developing a world-class healthcare system is interprofessional education (IPE), with the goal of facilitating healthcare workers to work together collaboratively. Several key steps have been taken towards developing IPE in Qatar, such as the formation of the Qatar Interprofessional Health Council (QIHC), the development of an IPE program for undergraduate healthcare students, the development of a set of shared core competencies, the receipt of substantial buy-in from leaders across the healthcare system, and recent approval of funding to develop a post-licensure healthcare IPE program. In order to improve IPE in Qatar, it is important to better understand the facilitators and barriers to interprofessional collaboration in Qatar. This study seeks to do so by qualitatively exploring facilitators and barriers to interprofessional collaboration for healthcare professional in Qatar from the perspective of health care professionals. By better understanding how health care workers give meaning to interprofessional education and collaboration, this research can assist in improving interprofessional activities in healthcare in Qatar.

Objectives
The purpose of this paper-presentation is to report on finding from a qualitative study that explored different facilitators and barriers of interprofessional practice in Qatar.

Method:
Ten healthcare professionals who work in Qatar were interviewed using semi-structured, open-ended interviews. Interview questions were organized by phenomenological (e.g. exploring the lived-experiences of healthcare workers) and ethnographic interviewing techniques (e.g. focusing on what people do). The questions explored the barriers, facilitators, and what is working well in terms of interprofessional practice for health care professional in Qatar.

Findings and Implications:
Different factors associated with interprofessional collaborations will be discussed. In doing so, this research adds to the literature on IPE by shedding light on interprofessional collaboration and education in the Middle East. Furthermore, this study identifies barriers for health care workers to work collaboratively in health care settings in Qatar. Addressing such barriers, and building off of what is working well, will facilitate Qatar in reaching one of the Vision 2030 goals of improving Qatar’s health and wellness.

Interprofessional Healthcare Collaboration on the Front Lines: A Qualitative Exploration of the Facilitators and Barriers to Effective Collaboration in Qatar.

Background:

Healthcare in Qatar is undergoing a period of major reform, driven by a strong economy and vision for a world-class healthcare system. One area identified as a potential contributor to developing a world-class healthcare system is interprofessional education (IPE), with the goal of facilitating healthcare workers to work together collaboratively. Several key steps have been taken towards developing IPE in Qatar, such as the formation of the Qatar Interprofessional Health Council (QIHC), the development of an IPE program for undergraduate healthcare students, the development of a set of shared core competencies, the receipt of substantial buy-in from leaders across the healthcare system, and recent approval of funding to develop a post-licensure healthcare IPE program. In order to improve IPE in Qatar, it is important to better understand the facilitators and barriers to interprofessional collaboration in Qatar. This study seeks to do so by qualitatively exploring facilitators and barriers to interprofessional collaboration for healthcare professional in Qatar from the perspective of health care professionals. By better understanding how health care workers give meaning to interprofessional education and collaboration, this research can assist in improving interprofessional activities in healthcare in Qatar.

Objectives

The purpose of this paper-presentation is to report on finding from a qualitative study that explored different facilitators and barriers of interprofessional practice in Qatar.

Method:

Ten healthcare professionals who work in Qatar were interviewed using semi-structured, open-ended interviews. Interview questions were organized by phenomenological (e.g. exploring the lived-experiences of healthcare workers) and ethnographic interviewing techniques (e.g. focusing on what people do). The questions explored the barriers, facilitators, and what is working well in terms of interprofessional practice for health care professional in Qatar.

Findings and Implications:

Different factors associated with interprofessional collaborations will be discussed. In doing so, this research adds to the literature on IPE by shedding light on interprofessional collaboration and education in the Middle East. Furthermore, this study identifies barriers for health care workers to work collaboratively in health care settings in Qatar. Addressing such barriers, and building off of what is working well, will facilitate Qatar in reaching one of the Vision 2030 goals of improving Qatar’s health and wellness.

Technologies of Knowledge and Governance on the Front Lines of Emergency Services.

Using institutional ethnography, a sociology and critical method of inquiry used primarily in North America, this presentation discusses new forms and technologies of knowledge and governance – “forms of language, technologies of representation and communication, and text-based, objectified modes of knowledge through which local particularities are interpreted or rendered actionable in abstract, translocal terms” (McCoy, 2008: 701) on the front line of emergency medical services. I focus specifically on technologies central to health reforms that attempt to reshape how health care is delivered, experienced, and made accountable (Anantharaman, 2004; Ball, 2005; Alberta Health Services, 2008). In additional to exemplifying how institutional ethnography can be used to answer Rankin and Campbell’s (2006) call for additional research into “the social organization of information in health care and attention to the (often unintended) ways ‘such textual products may accomplish…ruling purposes but otherwise fail people and, moreover, obscure that failure’ (p. 182)” (cited in McCoy, 2008: 709), this presentation will introduce the audience to a critical approach to social inquiry that explores how knowledge is socially organized.

Element-Free Galerkin Modelling of Crack Migration in Composite Laminates

The development of a virtual testing environment, as a cost-effective industrial design tool in the design and analysis of composite structures, requires the need to create models efficiently, as well as accelerate the analysis by reducing the number of degrees of freedom, while still satisfying the need for accurately tracking the evolution of a debond, delamination or crack front. The eventual aim is to simulate both damage initiation and propagation in components with realistic geometrical features, where crack propagation paths are not trivial. Meshless approaches, and the Element-Free Galerkin (EFG) method, are particularly suitable for problems involving changes in topology and have been successfully applied to simulate damage in homogeneous materials and concrete. In this work, the method is utilized to model initiation and mixed-mode propagation of cracks in composite laminates, and to simulate experimentally-observed crack migration which is difficult to model using standard finite element analysis. N

Estudo exploratório da excitabilidade axonal com a "técnica threshold tracking" : controlos saudáveis e doentes com polineuropatia amilóide familiar

Tese de mestrado, Neurociências, Faculdade de Medicina, Universidade de Lisboa, 2015

A Comparative Study of a Low Doppler Shift in a Carrier Tracking Loop for GPS

This paper compares a carrier tracking scenario when a received Global Positioning System (GPS) signal has low Doppler frequency. It is shown that if the Numerically Controlled Oscillator (NCO) is quantized to 1 bit, the carrier tracking loop is unable to keep track of the incoming signal which leaves the tracking loop oscillating between the upper and lower bounds of the tracking loop bandwidth. One way of overcoming this problem is presented and compared with another existing solution, found in the literature, providing comparative results from the use of real-recorded off the air GPS L1 signals. Results show that the proposed method performs better tracking performance compared with the existing solution which it requires much less hardware complexity.

Decentralized Target Tracking based on Multi-Robot Cooperative Triangulation

Target tracking with bearing-only sensors is a challenging problem when the target moves dynamically in complex scenarios. Besides the partial observability of such sensors, they have limited field of views, occlusions can occur, etc. In those cases, cooperative approaches with multiple tracking robots are interesting, but the different sources of uncertain information need to be considered appropriately in order to achieve better estimates. Even though there exist probabilistic filters that can estimate the position of a target dealing with incertainties, bearing-only measurements bring usually additional problems with initialization and data association. In this paper, we propose a multi-robot triangulation method with a dynamic baseline that can triangulate bearing-only measurements in a probabilistic manner to produce 3D observations. This method is combined with a decentralized stochastic filter and used to tackle those initialization and data association issues. The approach is validated with simulations and field experiments where a team of aerial and ground robots with cameras track a dynamic target.

Formation Control Driven by Cooperative Object Tracking

In this paper we introduce a formation control loop that maximizes the performance of the cooperative perception of a tracked target by a team of mobile robots, while maintaining the team in formation, with a dynamically adjustable geometry which is a function of the quality of the target perception by the team. In the formation control loop, the controller module is a distributed non-linear model predictive controller and the estimator module fuses local estimates of the target state, obtained by a particle filter at each robot. The two modules and their integration are described in detail, including a real-time database associated to a wireless communication protocol that facilitates the exchange of state data while reducing collisions among team members. Simulation and real robot results for indoor and outdoor teams of different robots are presented. The results highlight how our method successfully enables a team of homogeneous robots to minimize the total uncertainty of the tracked target cooperative estimate while complying with performance criteria such as keeping a pre-set distance between the teammates and the target, avoiding collisions with teammates and/or surrounding obstacles.