Reliable Gait Recognition Using 3D Reconstructions and Random Forests - An Anthropometric Approach.
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.
Department of Neuroscience and Pharmacology, University of Copenhagen, Blegdamsvej 3, DK-2200, Copenhagen, Denmark.|The Danish Institute of Fire and Security Technology, Jernholmen 12, DK-2650, Hvidovre, Denmark.
Martin
M
Sandau
Department of Forensic Medicine, University of Copenhagen, Frederik V's Vej 11, DK-2100, Copenhagen, Denmark.
Rikke V
RV
Heimbürger
Department of Radiology, Rigshospitalet, Blegdamsvej 9, DK-2100, Copenhagen, Denmark.
Karl E
KE
Jensen
Department of Architecture, Design and Media Technology, Aalborg University, Rendsburggade 14, DK-9000, Aalborg, Denmark.
Thomas B
TB
Moeslund
Department of Informatics and Mathematics, Technical University of Denmark, Anker Engelunds Vej 1, DK-2800, Kongens Lyngby, Denmark.
Henrik
H
Aanaes
Department of Neuroscience and Pharmacology, University of Copenhagen, Blegdamsvej 3, DK-2200, Copenhagen, Denmark.
Tine
T
Alkjaer
Department of Neuroscience and Pharmacology, University of Copenhagen, Blegdamsvej 3, DK-2200, Copenhagen, Denmark.
Erik B
EB
Simonsen
D000886:Anthropometry; D001696:Biomechanical Phenomena; D005684:Gait; D006801:Humans; D021621:Imaging, Three-Dimensional; D016138:Walking
3D reconstruction; biomechanics; dense point cloud; forensic anthropology; forensic science; forensic sciences; gait analysis; gait recognition; kinematics; photogrammetry; stereo vision