Skip to content

Feature-based analysis of bloodstain patterns

Bloodstain analysis
Type: Webinar
Research Area: Bloodstain

A key task in the analysis of bloodstain pattern analysis is to identify the mechanism by which the stains were created.   Examples include impact, gunshot, castoff, and expiration.  This webinar will introduce how images of bloodstain patterns can be represented via ellipses and using algorithms to assist with characterizing complex stains.  Features defined from characteristics of the ellipses appear to have potential in distinguishing bloodstain patterns created by different mechanisms.

Related Resources

A Novel, Data-Driven Approach to the Classification of Bloodstain Patterns

A Novel, Data-Driven Approach to the Classification of Bloodstain Patterns

Bloodstain pattern analysis is the study of bloodstains at a crime scene with the purpose of drawing inference about the crime. A typical objective for bloodstain pattern analysis is to…
Using the Likelihood Ratio in Bloodstain Pattern Analysis

Using the Likelihood Ratio in Bloodstain Pattern Analysis

There is an apparent paradox that the likelihood ratio (LR) approach is an appropriate measure of the weight of evidence when forensic findings have to be evaluated in court, while…
Bloodstain Pattern Analysis Black Box Study

Bloodstain Pattern Analysis Black Box Study

This CSAFE webinar was held on October 14, 2021. Presenters: Austin Hicklin Noblis Forensic Science Group, Director Paul Kish Forensic Consultant, Paul Erwin Kish Forensic Consultant and Associates Kevin Winer…
Recognition of Overlapping Elliptical Objects in a Binary Image

Recognition of Overlapping Elliptical Objects in a Binary Image

Recognition of overlapping objects is required in many applications in the field of computer vision. Examples include cell segmentation, bubble detection and bloodstain pattern analysis. This paper presents a method…