Title: CAN MATHS HELP IN THE FIGHT AGAINST CRIME
1CAN MATHS HELP IN THE FIGHT AGAINST CRIME?
Chris Budd
2 A crime has been committed
The police arrive in force
What challenges Do they face?
3- How to find out what happened
- How to interpret confusing data
- How to store a mass of data and mine it for
information - How to guard against fraud and keep things secure
Using maths they can
- Reconstruct what happened inverse
problems - Store and interpret data
wavelets, probability, statistics - Transmit data in a secure way prime numbers
2,3,7,113,511
4For example, you find some fingerprints
How likely was it to have come from a suspect?
These can be clear
Or blurred
Maths can reduce the amount of blurring
And contain lots of information
Maths gives a way of storing Only the relevant
information And retrieve it using wavelets
5 But what happened given the evidence?
Inverse problems what causes lead to what
effects?
For example, find the shape of an object only
knowing its shadows
Nasa
6How to solve an inverse problem
- Agree on a physical model of the event
- Understand what causes lead to what effects
- Given known effects use maths to give possible
causes. - Find the limitations and errors of the answer
- Different causes may give very similar effects
(think of shadows!)
Object
Shadow
7Case study 1 Catching a speeding motorist
.. Was the car speeding?
Evidence collision damage, witness
statements, tyre skid marks
8Evidence s distance of skid Cause
u speed Other data
friction force
Model links cause to effect
Given the effect maths gives the cause
BUT Need to know accurately!!!
9Case study 2 Deblurring a number plate
A short crime story
- Burglar robs a bank
- Escapes in a getaway car
- Pursued by police
Nasa
10GOOD NEWS Police take a photo BAD NEWS Photo
is blurred
11SOLUTION
Find a model of the blurring process
Blurring function g
Original image f
Blurred image h
- Blurring formula
- Inverting the formula we can get rid the blur
- BUT need to know the blurring function g
12Inversion formula
h(x)
f(x)
An example of Image
Processing
13Case study 3 Who or what killed Tutankhamen?
Image processing solves an ancient murder
mystery
Bible images
X-ray CAT scan of the mummy of Tutankhamen by
Zahi Hawass reveals the probable cause of death
National Geographic
14Object eg. King Tutenkhamen
Detector
X-Ray source
X
Intensity of X-ray at detector depends on width
and density of object
Intensity
X
Now look at LOTS of X-rays
15Source
X-Ray
Detector
Object
? Distance from the object centre ? Angle
of the X-Ray
Measure attenuation of X-Ray R(?, ?)
16Object
Edge
Edge
Attenuation
R(?, ?)
Edge
Edge
17 REMARKABLE FACT
If we can measure R(?, ?) accurately we can
calculate the density f(x,y) of the object at any
point Knowing f tells us the structure of the
object
- Mathematical formula discovered by Radon (1917)
- Took 60 years before computers and machines were
developed by Cormack to use his formula
The murder mystery resolved
Tutenkhamen died of a broken leg
University of St. Andrews
18 Radons formula
Radon transform
Inverse
Also used in Medical imaging
Tumour images
19CASE STUDY 5 A CRIME AGAINST HUMANITY
ANTI-PERSONEL LAND MINES
Land mines are hidden in foliage and triggered by
trip wires
Land mines are well hidden .. we can use maths to
find them
20Find the trip wires in this picture
21Digital picture of foliage is taken by camera on
a long pole Effect Image intensity f
Cause Trip wires .. These are like X-Rays
R(?,?)
f(x,y)
Radon transform
y
?
x
?
Points of high intensity in R correspond to trip
wires
Isolate points and transform back to find the
wires
22 Mathematics finds the land mines!
Who says that maths isnt relevant to
real life?!?