The detection of latent fingermarks on porous surfaces using amino acid sensitive reagents : a review

The introduction of ninhydrin treatment as a chemical technique for the visualisation of latent fingermarks on porous surfaces revolutionised approaches to forensic fingermark examination. Since then, a range of amino acid sensitive reagents has been developed and such compounds are in widespread use by law enforcement agencies worldwide. This paper reviews the development and use of these reagents for the detection of latent fingermarks on porous surfaces. A brief overview is provided, including an historical background, forensic significance, and a general approach to the development of latent fingermarks on porous surfaces. This is followed by a discussion of specific amino acid sensitive treatments.

Benzodiazepine and pharmaceutical opioid misuse and their relationship to crime : an examination of illicit prescription drug markets in Melbourne, Hobart and Darwin : Victorian report

This report presents the findings of the major research project 'benzodiazepine and pharmaceutical opioid misuse and their relationship to crime', and is an examination of illicit prescription drug markets in Melbourne.

Ozbot and haptics : remote surveillance to physical presence

This paper reports on robotic and haptic technologies and capabilities developed for the law enforcement and defence community within Australia by the Centre for Intelligent Systems Research (CISR). The OzBot series of small and medium surveillance robots have been designed in Australia and evaluated by law enforcement and defence personnel to determine suitability and ruggedness in a variety of environments. Using custom developed digital electronics and featuring expandable data busses including RS485, I2C, RS232, video and Ethernet, the robots can be directly connected to many off the shelf payloads such as gas sensors, x-ray sources and camera systems including thermal and night vision. Differentiating the OzBot platform from its peers is its ability to be integrated directly with haptic technology or the 'haptic bubble' developed by CISR. Haptic interfaces allow an operator to physically 'feel' remote environments through position-force control and experience realistic force feedback. By adding the capability to remotely grasp an object, feel its weight, texture and other physical properties in real-time from the remote ground control unit, an operator's situational awareness is greatly improved through Haptic augmentation in an environment where remote-system feedback is often limited.

Police officers' note-taking of interviews with alleged child abuse victims

The field and experimental studies for this thesis revealed that: the quality of documentation of 'disclosure' (initial) interviews with child abuse witnesses was poor; under optimal note-taking conditions, verbatim records of interview were still not provided, and considerable variability was observed in the quality of notes and strategies employed to document content and structure. The portfolio presents four case studies to illustrate similarities and/or differences between offence behaviour in child sex offenders with impairment, and the offence behaviours that characterise Canter et al.'s intimate, criminal-opportunistic and aggressive type offenders.

Australian police responses to transnational crime and terrorism

This chapter outlines the Australian federal policing and allied agency responses to international drug trafficking activity and terrorism. The chapter is situated alongside a broader analysis of the structure of each key agency and the various interagency enforcement mechanisms established domestically and internationally to improve enforcement performance.

Individual factors associated with investigative interviewers' use of non-leading open-ended questions

This thesis represents one of the first research papers to examine individual factors and their association with best-practice investigative interviewing. Findings indicate that adherence to open-ended questioning (arguably one of the most important skills in child abuse interviewing) is largely the by-product of good training rather than personal attributes or job experience per se. maximising interviewer performance is crucial if the quality of evidence obtained from child witnesses is to improve on a global level.

The use of drug detection dogs in Sydney, Australia

Introduction and Aims. At present there is little research into the use of drug detection dogs. The present study sought to explore the use of detection dogs in Sydney, Australia, utilising multiple data sources.

Design and Methods. Data were taken from interviews with 100 regular ecstasy users and 20 key experts as part of the 2006 New South Wales arm of the Ecstasy and Related Drugs Reporting System, and secondary data sources.

Results. The majority of regular ecstasy users reported taking some form of precaution if made aware that dogs would be at an event they were attending. A small proportion of the sample reported consuming their drugs when coming into contact with detection dogs. One group of key experts viewed the use of detection dogs as useful; one group disliked the use of detection dogs though cooperated with law enforcement when dogs were used; and one group considered that detection dogs contribute to greater harm. Secondary data sources further suggested that the use of detection dogs do not significantly assist police in identifying and apprehending drug suppliers.

Discussion and Conclusions. The present study suggests that regular ecstasy users do not see detection dogs as an obstacle to their drug use. Future research is necessary to explore in greater depth the experiences that drug users have with detection dogs; the effect detection dogs may have on deterring drug consumption; whether encounters with detection dogs contribute to drug-related harm; and the cost–benefit analysis of this law enforcement exercise.

A comparative analysis of Australian sex offender legislation for sex offender registries

Australia has followed the course taken by other English-speaking countries in recent years of enacting legislation that requires convicted sexual offenders to register personal details with law enforcement agencies. These laws have been enacted to protect the public from the perceived threat posed by sex offenders, but have been written with little apparent reference to the available research literature about the nature and extent of this threat. In addition, there is no empirical evidence supporting the effectiveness of legislatively based sex offender registries to either reduce sexual offending or to enable the police to investigate sex crimes and apprehend offenders. This article compares and contrasts the current laws governing sex offender registration enacted by the various states and territories in Australia, and offers a critical analysis of their provisions in light of the research literature on sexual offending.

Application of a brain inspired model for profiling multi-view crime patterns

With the massive amount of crime data generated daily, this has put law enforcement under intensive stress. This means that law enforcement has to compete against the time to solve crime. In addition, the focus of crime investigation has been expanded from the ability to catch the criminals towards the ability to act before a crime happens (i.e pre-crime). Given such situation, creation of crime profiles is very important to law enforcement, especially in understanding the behaviours of criminals and identifying the characteristics of similar crimes. In fact, crime profiles could be used to solve similar crimes and thus pre-crime action could be conducted. In this paper, a brain inspired conceptual model is proposed and a structurally adaptive neural network is deployed for its implementation. Subsequently, the proposed model is applied for the identification and presentation of multi-view crime patterns. Such multi-view crime patterns could be useful for the construction of crime profiles. Moreover, the suitability of the proposed model in crime profiling is discussed and demonstrated through some experimental results.

The use of insects and associated arthropods in legal cases : a historical and practical perspective

 Forensic entomology has generally been recognised among law enforcement and the wider community as a science employed in the estimation of time since death. The utility of this science in contributing to the provision of time frames resulting in the focusing of valuable investigative resources has certainly been of the greatest importance. However, arthropods have been exploited extensively for their ability to provide information in a multitude of other situations, including cases of neglect, the food industry, and information relating to the cause and manner of death. This chapter will discuss the realm of information obtainable from insects and related groups in the forensic context, including and beyond the recognised time since death applications. Two areas of current research, molecular forensic entomology and entomotoxicology, will be discussed for their potential impact in the field.

Next generation robotic counter IED technology : A step change in capability

Improvised Explosive Devices (IEDs) are reported as the number one cause of injury and death for allied troops in the current theater of operation. Deakin University’s Centre for Intelligent Systems Research (CISR) is working on next-generation technology to combat the threat. In 2006 CISR was awarded funding through the Capability and Technology Demonstrator (CTD) Program managed by the Australian Defence Force. The objective was to investigate the use of haptics or force feedback technology for Counter-IED (CIED) tasks. Over the past six years, engineers from CISR have worked alongside Defence stakeholders to develop a series of robotic platforms designed to immerse a soldier in the remote environment. Utilising a natural user interface, haptic force feedback and stereovision, the technology has undergone initial trials in Sydney, Canberra, Woomera and at the CISR testing facility in Geelong, Australia. The technology has proved popular among operators allowing them increased fidelity and manipulation speed while significantly reducing required training. CISR has a history of rapidly delivering technology to meet the needs of police and law enforcement in Australia. The OzBot™ series of robots developed in conjunction with the Victorian Police is currently in service and used extensively for hostage negotiation and first responder roles. The CISR robotics group works on technologies that reduce operator fatigue, minimise training liability and maintenance. Over 55 engineers develop simulation environments for increased training availability and continuous improvement to the current range of mobile platforms, including communications range, payload, manipulator reach and capability. This paper describes a number of the technologies, methods and systems developed by CISR for IED neutralisation, with the aim to increasing military awareness of Australian capability.

Dealing with alcohol-related harm and the night-time economy

Alcohol-related problems are a major cause of social disorder and illness in Australia. In particular, problems associated with the night-time economies of urban and regional centres cause substantial community concern and are a considerable drain on police, community and health resources. The estimated cost of alcohol to the community is $15.3 billion, including costs associated with crime, violence, patient treatment, loss of productivity and premature deaths in 2004–05 (Collins 2008). Alcohol has also been identified as a factor in around three quarters of assaults and incidents of offensive behaviour on the street (Buss 1995). Previous research has identified several issues that contribute to the levels of short-term harm associated with risky drinking. These include: excessive consumption at licensed premises, consumption in public areas and lack of transport and security in entertainment precincts (Homel et al. 1992; Graham & Homel 2008).

Drinking in licensed venues is another predictor of harm and public disorder. More than half of offences occurring on the street have been associated with licensed premises in Australia (Buss 1995). A complex range of factors increase risky drinking and associated harms on licensed premises including: aspects of patron mix; levels of comfort, boredom, and intoxication; promotions that cause mass intoxication; and the behaviour of security/bouncers (Homel et al. 1992). Violence has also been shown to be perpetuated by poor venue management, lax police surveillance, lack of transport options for patrons, and inappropriate bureaucratic controls and legislation (Homel et al. 1992). This project aims to provide evidence-based knowledge regarding the implementation and impact of innovative local initiatives directed at alcohol-related harms.

Infrared face recognition: a literature review

Automatic face recognition (AFR) is an area with immense practical potential which includes a wide range of commercial and law enforcement applications, and it continues to be one of the most active research areas of computer vision. Even after over three decades of intense research, the state-of-the-art in AFR continues to improve, benefiting from advances in a range of different fields including image processing, pattern recognition, computer graphics and physiology. However, systems based on visible spectrum images continue to face challenges in the presence of illumination, pose and expression changes, as well as facial disguises, all of which can significantly decrease their accuracy. Amongst various approaches which have been proposed in an attempt to overcome these limitations, the use of infrared (IR) imaging has emerged as a particularly promising research direction. This paper presents a comprehensive and timely review of the literature on this subject.

Crowd detection from still images

The analysis of human crowds has widespread uses from law enforcement to urban engineering and traffic management. All of these require a crowd to first be detected, which is the problem addressed in this paper. Given an image, the algorithm we propose segments it into crowd and non-crowd regions. The main idea is to capture two key properties of crowds: (i) on a narrow scale, its basic element should look like a human (only weakly so, due to low resolution, occlusion, clothing variation etc.), while (ii) on a larger scale, a crowd inherently contains repetitive appearance elements. Our method exploits this by building a pyramid of sliding windows and quantifying how “crowd-like” each level of the pyramid is using an underlying statistical model based on quantized SIFT features. The two aforementioned crowd properties are captured by the resulting feature vector of window responses, describing the degree of crowd-like appearance around an image location as the surrounding spatial extent is increased.

A manifold approach to face recognition from low quality video across illumination and pose using implicit super-resolution

We consider the problem of matching a face in a low resolution query video sequence against a set of higher quality gallery sequences. This problem is of interest in many applications, such as law enforcement. Our main contribution is an extension of the recently proposed Generic Shape-Illumination Manifold (gSIM) framework. Specifically, (i) we show how super-resolution across pose and scale can be achieved implicitly, by off-line learning of subsampling artefacts; (ii) we use this result to propose an extension to the statistical model of the gSIM by compounding it with a hierarchy of subsampling models at multiple scales; and (iii) we describe an extensive empirical evaluation of the method on over 1300 video sequences – we first measure the degradation in performance of the original gSIM algorithm as query sequence resolution is decreased and then show that the proposed extension produces an error reduction in the mean recognition rate of over 50%.