Fat and thin adaptive HMM filters for vision based detection of moving targets

Computer vision is an attractive solution for uninhabited aerial vehicle (UAV) collision avoidance, due to the low weight, size and power requirements of hardware. A two-stage paradigm has emerged in the literature for detection and tracking of dim targets in images, comprising of spatial preprocessing, followed by temporal ���ltering. In this paper, we investigate a hidden Markov model (HMM) based temporal ���ltering approach. Speci���cally, we propose an adaptive HMM ���lter, in which the variance of model parameters is re���ned as the quality of the target estimate improves. Filters with high variance (fat ���lters) are used for target acquisition, and ���lters with low variance (thin ���lters) are used for target tracking. The adaptive ���lter is tested in simulation and with real data (video of a collision-course aircraft). Our test results demonstrate that our adaptive ���ltering approach has improved tracking performance, and provides an estimate of target heading not present in previous HMM ���ltering approaches.

Women, drinking and aggression on a night out: Do girls just wanna have fun?

Alcohol misuse and violence is a major public safety concern. Although the extent and nature of alcohol-related violence has been examined there is a paucity of research surrounding the ongoing construction and re-construction of gender identity and its relationship to aggression and alcohol consumption. A social constructionist perspective was used to explore women���s perceptions and experiences of drinking alcohol and incidents of public violence and aggression. Two methods were used. Firstly, an exploratory study consisting of three in-depth interviews and three focus groups to examine the ideas women constructed in relation to their experiences; and further, an online survey to explore self-reported drinking patterns among men and women. The main themes emerging from the qualitative material were ���planned drinking to excess��� (incorporating the rituals of a ���pre-drink��� routine), and perceptions of appropriate feminine behaviour (particularly in relation to excessive drinking and alcohol related aggression in and around licensed venues). The survey data indicated that men continue to consume more alcohol and at higher levels than women, while women���s involvement in aggressive incidents on a night out being similar to that of men. Both genders considered that women���s involvement in aggressive incidents in and around licensed venues as ���unfeminine���. Understanding drinking as a socially constructed activity adds to our understanding of the meaning of drinking for women, and in particular, young women. This perspective may allow more focussed initiatives to address the social and health related harms associated with drinking in and around licensed venues.

Applying six-sigma in the service industry: a review and case study in call center services

This paper presents an extensive review on the services, six-sigma, and application of six-sigma in services. In order to improve service quality focus on service process is necessary. Six-sigma is a philosophy which also concentrates on the improvement of process. So, six-sigma if properly applied can be useful for services. This study focuses on the application aspect of six-sigma to wider range of services. The wider applicability of six-sigma depends on identification of key performance indicators(KPIs) for different types of service processes. A case study is conducted in call center services to identify, analyze and compare critical to quality characteristics (CTQs) and KPIs with other types of services available in literature. This study will be helpful to both practitioners and researchers.

Demonstration of closed-��loop airborne sense-��and-��avoid using machine vision

This paper describes a vision-based airborne collision avoidance system developed by the Australian Research Centre for Aerospace Automation (ARCAA) under its Dynamic Sense-and-Act (DSA) program. We outline the system architecture and the flight testing undertaken to validate the system performance under realistic collision course scenarios. The proposed system could be implemented in either manned or unmanned aircraft, and represents a step forward in the development of a ���sense-and-avoid��� capability equivalent to human ���see-and-avoid���.

Middle India as revealed by Chetan Bhagat

The middle classes form the bulk of Indian migrants who head for Australian shores today. Yet, within Australia, general knowledge of the conditions that drive Indians��� determined search for opportunities overseas is limited to the few who have contact with international students and migrants from the sub-continent, and the skewed, melodramatic antics of Bollywood. It is my suggestion that a broader understanding of the underlying reasons that push Indians to migrate to societies like Australia can be had through readings of Chetan���s Bhagat���s four hugely popular novels: Five Point Someone, One night @the Call Center, The 3 mistakes of My life and Two States. Bhagat is a graduate of India���s famed Indian Institute of Technology and a former Non-Resident Indian investment banker who has since returned to live in Delhi. His experiences make him the perfect mouthpiece for middle India and his paperbacks depict that stratum of Indian society���s obsessions with social mobility, marriage, regional and religious divides with great sympathy and conviction. Drawing on observations made during a recent visit to India, I illustrate what an exploration of Bhagat���s paperbacks reveals about everyday, contemporary India and what it adds to Australian understandings of Indians and India today.

A conceptual model to link deep customer insights to both growth opportunities and organisational strategy in SME���s as part of a design led transformation journey

Although Design Led Innovation activities aim to raise the value of design within the business, knowledge about which tools are available to support companies and how to apply them to make the connection between design for new product development and design as a strategic driver of growth is needed. This paper presents a conceptual method to supplement existing process and tools to assist companies to grow through design. The model extends the authors��� previous work to explore how through storytelling, customer observation can be captured and translated into new meaning, then creating new design propositions shaped into product needs, which can drive internal business activities, brand and the strategic vision. The paper contributes to a gap in the theoretical frameworks and literature by highlighting the need to align and scale design processes which match the needs of SME���s as they transition along a trajectory to become design led businesses.

Feature-domain super-resolution framework for gabor-based face and iris recognition

The low resolution of images has been one of the major limitations in recognising humans from a distance using their biometric traits, such as face and iris. Superresolution has been employed to improve the resolution and the recognition performance simultaneously, however the majority of techniques employed operate in the pixel domain, such that the biometric feature vectors are extracted from a super-resolved input image. Feature-domain superresolution has been proposed for face and iris, and is shown to further improve recognition performance by capitalising on direct super-resolving the features which are used for recognition. However, current feature-domain superresolution approaches are limited to simple linear features such as Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA), which are not the most discriminant features for biometrics. Gabor-based features have been shown to be one of the most discriminant features for biometrics including face and iris. This paper proposes a framework to conduct super-resolution in the non-linear Gabor feature domain to further improve the recognition performance of biometric systems. Experiments have confirmed the validity of the proposed approach, demonstrating superior performance to existing linear approaches for both face and iris biometrics.

Improved facial expression recognition via uni-hyperplane classification

Large margin learning approaches, such as support vector machines (SVM), have been successfully applied to numerous classification tasks, especially for automatic facial expression recognition. The risk of such approaches however, is their sensitivity to large margin losses due to the influence from noisy training examples and outliers which is a common problem in the area of affective computing (i.e., manual coding at the frame level is tedious so coarse labels are normally assigned). In this paper, we leverage the relaxation of the parallel-hyperplanes constraint and propose the use of modified correlation filters (MCF). The MCF is similar in spirit to SVMs and correlation filters, but with the key difference of optimizing only a single hyperplane. We demonstrate the superiority of MCF over current techniques on a battery of experiments.

Copyright vision : copyright jails

This article, published in ON LINE Opinion on 26 October 2006, discusses the broad ranging amendments to the Copyright Act which (in part) implement obligations under the Australia-US Free Trade Agreement (AUSFTA) which were introduced into parliament on October 19, 2006. It covers issues relating to the criminalisation of copyright infringement, user rights and liabilities, and Technological Protection Measures (TPMs).

Machine vision toolbox for MATLAB, release 3 [Software]

The Toolbox, combined with MATLAB �� and a modern workstation computer, is a useful and convenient environment for investigation of machine vision algorithms. For modest image sizes the processing rate can be sufficiently ``real-time'' to allow for closed-loop control. Focus of attention methods such as dynamic windowing (not provided) can be used to increase the processing rate. With input from a firewire or web camera (support provided) and output to a robot (not provided) it would be possible to implement a visual servo system entirely in MATLAB. Provides many functions that are useful in machine vision and vision-based control. Useful for photometry, photogrammetry, colorimetry. It includes over 100 functions spanning operations such as image file reading and writing, acquisition, display, filtering, blob, point and line feature extraction, mathematical morphology, homographies, visual Jacobians, camera calibration and color space conversion.

OpenFABMAP : an open source toolbox for appearance-based loop closure detection

Appearance-based loop closure techniques, which leverage the high information content of visual images and can be used independently of pose, are now widely used in robotic applications. The current state-of-the-art in the field is Fast Appearance-Based Mapping (FAB-MAP) having been demonstrated in several seminal robotic mapping experiments. In this paper, we describe OpenFABMAP, a fully open source implementation of the original FAB-MAP algorithm. Beyond the benefits of full user access to the source code, OpenFABMAP provides a number of configurable options including rapid codebook training and interest point feature tuning. We demonstrate the performance of OpenFABMAP on a number of published datasets and demonstrate the advantages of quick algorithm customisation. We present results from OpenFABMAP���s application in a highly varied range of robotics research scenarios.

Diurnal Variation of Retinal Thickness with Spectral Domain OCT

Purpose. To investigate whether diurnal variation occurs in retinal thickness measures derived from spectral domain optical coherence tomography (SD-OCT). Methods. Twelve healthy adult subjects had retinal thickness measured with SD-OCT every 2 h over a 10 h period. At each measurement session, three average B-scan images were derived from a series of multiple B-scans (each from a 5 mm horizontal raster scan along the fovea, containing 1500 A-scans/B-scan) and analyzed to determine the thickness of the total retina, as well as the thickness of the outer retinal layers. Average thickness values were calculated at the foveal center, at the 0.5 mm diameter foveal region, and for the temporal parafovea (1.5 mm from foveal center) and nasal parafovea (1.5 mm from foveal center). Results. Total retinal thickness did not exhibit significant diurnal variation in any of the considered retinal regions (p > 0.05). Evidence of significant diurnal variation was found in the thickness of the outer retinal layers (p < 0.05), with the most prominent changes observed in the photoreceptor layers at the foveal center. The photoreceptor inner and outer segment layer thickness exhibited mean amplitude (peak to trough) of daily change of 7 �� 3 ��m at the foveal center. The peak in thickness was typically observed at the third measurement session (mean measurement time, 13:06). Conclusions. The total retinal thickness measured with SD-OCT does not exhibit evidence of significant variation over the course of the day. However, small but significant diurnal variation occurs in the thickness of the foveal outer retinal layers.

Field-of-view, detection range, and false alarm trade-offs in vision-based aircraft detection

This paper presents a survey of previously presented vision based aircraft detection flight test, and then presents new flight test results examining the impact of camera field-of view choice on the detection range and false alarm rate characteristics of a vision-based aircraft detection technique. Using data collected from approaching aircraft, we examine the impact of camera fieldof-view choice and confirm that, when aiming for similar levels of detection confidence, an improvement in detection range can be obtained by choosing a smaller effective field-of-view (in terms of degrees per pixel).

See and avoid using on-board computer vision

The integration of unmanned aircraft into civil airspace is a complex issue. One key question is whether unmanned aircraft can operate just as safely as their manned counterparts. The absence of a human pilot in unmanned aircraft automatically points to a deficiency that is the lack of an inherent see-and-avoid capability. To date, regulators have mandated that an ���equivalent level of safety��� be demonstrated before UAVs are permitted to routinely operate in civil airspace. This chapter proposes techniques, methods, and hardware integrations that describe a ���sense-and-avoid��� system designed to address the lack of a see-and-avoid capability in UAVs.

HMM triangle relative entropy concepts in sequential change detection applied to vision-based dim target manoeuvre detection

The quick detection of abrupt (unknown) parameter changes in an observed hidden Markov model (HMM) is important in several applications. Motivated by the recent application of relative entropy concepts in the robust sequential change detection problem (and the related model selection problem), this paper proposes a sequential unknown change detection algorithm based on a relative entropy based HMM parameter estimator. Our proposed approach is able to overcome the lack of knowledge of post-change parameters, and is illustrated to have similar performance to the popular cumulative sum (CUSUM) algorithm (which requires knowledge of the post-change parameter values) when examined, on both simulated and real data, in a vision-based aircraft manoeuvre detection problem.