Toward Automatic Blood Spatter Analysis in Crime Scenes Gabriel Brostow, 13 June, 2006 Shen, Brostow, Cipolla University of Cambridge.

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Presentation transcript:

Toward Automatic Blood Spatter Analysis in Crime Scenes Gabriel Brostow, 13 June, 2006 Shen, Brostow, Cipolla University of Cambridge

Bloodstain Categories* Passive Bloodstains Projected Bloodstains –Low / medium / high velocity impact: caused by force applied to a blood source Transfer/Contact Bloodstains *International Association of Bloodstain Pattern Analysts

Image by Kevin Maloney

Point of Origin Localization

String Method

Support Software From BackTrack software by A. L. Carter, 2001 version

Automation Goals 1.Estimate impact angles for 1 spot 2.Estimate 2D origin of impact 3.Estimate 3D origin of impact

Automation Goals 1.Estimate impact angles for 1 spot 2.Estimate 2D origin of impact 3.Estimate 3D origin of impact

Experimental Setup

Results: Impact Angles

Primary vs. Secondary Stains Bevel & Gardner, 2001

Filter for Outliers

Automation Goals 1.Estimate impact angles for 1 spot 2.Estimate 2D origin of impact 3.Estimate 3D origin of impact

2D Multi-Spot Analysis Experiment –Blunt force impact –True origin: diameter 6cm height 22cm

Strings in the form of vectors x y

Intersections

Convolve with Gaussian

Threshold on Distance

Image rectification Generate synthetic view Homography:

Image rectification

Automation Goals 1.Estimate impact angles for 1 spot 2.Estimate 2D origin of impact 3.Estimate 3D origin of impact

Height Estimation Triangulation –H = tan(  ) * distance –True height 22cm, estimated height 19cm Advanced –Unknowns –Speed, distance, air resistance and gravity

Height Estimation Triangulation –H = tan(  ) * distance –True height 22cm, estimated height 19cm Model in future –Speed, distance, air resistance and gravity

Findings Demonstrated accuracy of 1-spot analysis 2D Origin of Impact Estimation Overhead crime-scene visualization Groundwork for 3D string method automation

Future Work Real blood images 3D projectile trajectory modeling

Contact Gabriel J. Brostow or Amy Shen University of Cambridge

Related work Interpretation of Bloodstain Evidence at Crime Scenes –Eckert & James, 1998 Bloodstain Pattern Analysis –Bevel & Gardner, 2001 Blood Dynamics –Wonder, 2001 The Directional Analysis of Bloodstain Patterns, Theory and Experimental Validation –A.L.Carter, 2001

Alternative bloodstain ellipse fitting Alternative ellipse fitting algorithm –Ellipse growth –Erosion, median filter and dilation

Manual vs. Automatic Current pipeline: –On-site measurements –Physical strings construction –Qualitative estimation of origin Automatic pipeline: –Image processing –Strings in the form of equations stored on computer –Quantitative estimation of origin using error functions