학술논문

Towards Automatic Bloodstain Pattern Analysis through Cognitive Robots
Document Type
Conference
Source
2015 IEEE International Conference on Systems, Man, and Cybernetics Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on. :2447-2452 Oct, 2015
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Navigation
Forensics
Blood
Robot kinematics
Feature extraction
Pattern analysis
Forensic Intelligence
Bloodstain Pattern Analysis
Cognitive Robotics
Pattern Recognition
Image Processing
Fuzzy Reasoning
Language
Abstract
Bloodstain pattern analysis (BPA) is a forensic discipline that plays a key role in performing a reconstruction of the crime scene related to blood shedding events. By studying the distribution, size and shape of bloodstains, BPA supports worldwide investigation agencies (US FBI, Italian Carabinieri and so on) in identifying the dynamics of a certain act of violence and evaluating the credibility of statements provided by a witness, a victim, or a suspect. However, in spite of its importance, this forensic discipline is still mainly based on manual approaches, making the analysis of a crime scene long, tedious and potentially imperfect. This paper is aimed at presenting a proposal for a robotic framework to automate the BPA in all its steps. In particular, the robotic framework is composed of an Unmanned Aerial Vehicle (UAV) capable of navigating the crime scene, detecting bloodstains, computing the points of origin and preparing a technical report describing the bloody event.