Citation

Liu S, Yang X, Cui J, Yin Z. J. Forensic Sci. 2017; 62(4): 1071-1074.

Affiliation

Department 4, Institute of Surgery Research, Daping Hospital, Third Military Medical University, Chongqing, 400042, China.

Copyright

(Copyright © 2017, American Society for Testing and Materials, Publisher John Wiley and Sons)

DOI

10.1111/1556-4029.13381

PMID

28066883

Abstract

In traffic forensic identifications, it was usually unfavorable that estimated velocities of questioned vehicles derived from frame-based methods eventually turned out to be close to but a bit less than speed limits. In this paper, a novel pixel-based method was presented to estimate vehicles' relatively instantaneous velocities. First, two adjacent pixels' actual distance was acquired from the closed-circuit television (CCTV) images. Then, the instantaneous average velocity within this one frame interval time (FIT) was calculated out. The frame-based method and its evaluating result were also introduced in this paper. The results showed that the velocity estimated by this new pixel-based method was higher than which derived from the frame-based method. Employing this presented novel method in these cases, it could be more accurately identified whether or not the vehicles had exceeded the speed limits, and then the responsibilities could be consequently assigned impartially.

© 2017 American Academy of Forensic Sciences.

Language: en