Reliable Gait Recognition Using 3D Reconstructions and Random Forests - An Anthropometric Approach

TY - JOUR

T1 - Reliable Gait Recognition Using 3D Reconstructions and Random Forests - An Anthropometric Approach

AU - Christiansen, Martin Sandau

AU - Heimbürger, Rikke V

AU - Jensen, Karl E

AU - Moeslund, Thomas B

AU - Aanaes, Henrik

AU - Alkjaer, Tine

AU - Simonsen, Erik B

N1 - © 2016 American Academy of Forensic Sciences.

PY - 2016/5/1

Y1 - 2016/5/1

N2 - Photogrammetric measurements of bodily dimensions and analysis of gait patterns in CCTV are important tools in forensic investigations but accurate extraction of the measurements are challenging. This study tested whether manual annotation of the joint centers on 3D reconstructions could provide reliable recognition. Sixteen participants performed normal walking where 3D reconstructions were obtained continually. Segment lengths and kinematics from the extremities were manually extracted by eight expert observers. The results showed that all the participants were recognized, assuming the same expert annotated the data. Recognition based on data annotated by different experts was less reliable achieving 72.6% correct recognitions as some parameters were heavily affected by interobserver variability. This study verified that 3D reconstructions are feasible for forensic gait analysis as an improved alternative to conventional CCTV. However, further studies are needed to account for the use of different clothing, field conditions, etc.

AB - Photogrammetric measurements of bodily dimensions and analysis of gait patterns in CCTV are important tools in forensic investigations but accurate extraction of the measurements are challenging. This study tested whether manual annotation of the joint centers on 3D reconstructions could provide reliable recognition. Sixteen participants performed normal walking where 3D reconstructions were obtained continually. Segment lengths and kinematics from the extremities were manually extracted by eight expert observers. The results showed that all the participants were recognized, assuming the same expert annotated the data. Recognition based on data annotated by different experts was less reliable achieving 72.6% correct recognitions as some parameters were heavily affected by interobserver variability. This study verified that 3D reconstructions are feasible for forensic gait analysis as an improved alternative to conventional CCTV. However, further studies are needed to account for the use of different clothing, field conditions, etc.

U2 - 10.1111/1556-4029.13015

DO - 10.1111/1556-4029.13015

M3 - Journal article

C2 - 27122399

SN - 0022-1198

VL - 61

SP - 637

EP - 648

JO - Journal of Forensic Sciences

JF - Journal of Forensic Sciences

IS - 3

ER -