TY - JOUR
T1 - Person identification by gait analysis and photogrammetry
AU - Lynnerup, Niels
AU - Vedel, Jens
N1 - Keywords: Adult; Biomechanics; Commerce; Crime; Forensic Anthropology; Gait; Humans; Male; Photography; Video Recording
PY - 2005
Y1 - 2005
N2 - Surveillance images from a bank robbery were analyzed and compared with images of a suspect. Based on general bodily features, gait and anthropometric measurements, we were able to conclude that one of the perpetrators showed strong resemblance to the suspect. Both exhibited a gait characterized by hyperextension of the leg joints, and bodily measurements did not differ by more than 6 mm on average. The latter was quantified by photogrammetry: i.e., measuring by using images of the perpetrator as captured by surveillance cameras. Using the computer software Photomodeler Pro, synchronous images from different cameras were compared and concurrent body features were identified. The program could then render the perpetrator as a three dimensional, high-precision, scalable and measurable object.
AB - Surveillance images from a bank robbery were analyzed and compared with images of a suspect. Based on general bodily features, gait and anthropometric measurements, we were able to conclude that one of the perpetrators showed strong resemblance to the suspect. Both exhibited a gait characterized by hyperextension of the leg joints, and bodily measurements did not differ by more than 6 mm on average. The latter was quantified by photogrammetry: i.e., measuring by using images of the perpetrator as captured by surveillance cameras. Using the computer software Photomodeler Pro, synchronous images from different cameras were compared and concurrent body features were identified. The program could then render the perpetrator as a three dimensional, high-precision, scalable and measurable object.
M3 - Journal article
C2 - 15831004
SN - 0022-1198
VL - 50
SP - 112
EP - 118
JO - Journal of Forensic Sciences
JF - Journal of Forensic Sciences
IS - 1
ER -