Facial Analysis for Real-Time Profiling

该项目将制定一种在业务和技术上可行的货物威胁调查办法。该项目的主要目的是提供一种实时动态被动特征分析技术，以协助边境管制机构，并有可能提高命中率;即，提高对携带违禁品的人的定位，从而确保更少的人进入英国。具体地说，实时动态被动侧写技术将基于面部表情的建模，眼睛运动和瞳孔在视觉和热域的变化，并将这些与恶意意图和生理过程（如血液流动，眼睛运动模式和瞳孔扩张）。为了促进这一进程，该项目的初步工作之一将是收集、分析和开发数据集，用于对一般人群的面部图像行为基线进行建模，以便根据这些基线检测具有恶意意图的人的生理行为。基线和动态特征分析都将以对一系列问题的答复为基础。将在边境管制站的业务试验中对所开发的技术进行评估。多模式面部分析将为目前的特征分析提供更多信息，开发的技术将更广泛地应用于其他领域。有三个主要挑战：a）确定面部/眼睛特征，结合心理分析，以提供可以与恶意意图相关联的可靠基线，B）开发和联合收割机与意图相关的各种动态实时面部模型（视觉表情，热，眼球运动），以及c）在不同环境中评估开发的系统，从机场到港口的边界控制点。

This project will develop an operationally and technically viable approach to cargo threat investigation. The main aim of the project is to provide a real-time dynamic passive profiling technique to assist Border Control Agencies and has the potential to improve hit rates; i.e. to improve targeting the people that carry contraband and hence ensure less is entering the UK.To be specific, the real-time dynamic passive profiling technique will be based on the modelling of facial expressions, eye movement and pupil changes in both the visual and thermal domains and link these to malicious intent and physiological processes (such as blood flow, eye movement patterns, and pupil dilation). To facilitate this process, one of the initial aspects of the project will be the collection, analysis and development of the dataset used to model the baseline of facial imagery behaviour of the general population against which physiological behaviours in people with malicious intent would need to be detected. Both the baseline and the dynamic profiling will be based on the response to a series of questions. The developed techniques will be evaluated in operational trails at border control points. The multi-modal facial analysis will provide additional information to the current profiling and the developed techniques will have a wider remit into other domains. It is envisioned that this will be easily integrated into the current process.There are three main challenges:a) to determine the facial/eye features, in combination with psychological profiling, to provide robust baselines that can be linked to malicious intent,b) to develop and combine the various dynamic real-time facial models (visual expression, thermal, eye movement) related to intent, andc) to evaluate the developed system within different environments, ranging from airport to port based border control points.