Blockchain Based Secure Traffic Police Assistant System

Pawade, Dipti; Sakhapara, Avani; Shah, Raj; Thampi, Siby; Vaid, Vignesh

doi:10.5815/ijeme.2020.06.05

Cited by 4 publications

(1 citation statement)

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“…In the case then a person's face is clearly fixed on the video, or any special signs are visible, the task of portrait identification of a person does not cause difficulties. Nevertheless, expertise in which a person's face is not visible on the video (since it is hidden by a mask, or the shooting was made at an unsuccessful angle) are relevant [9][10].…”

Section: Introductionmentioning

confidence: 99%

Research of Digital Characteristics of the Step Cycle in Forensic Medicine

Fomina,

Zybin

2024

Advances in Transdisciplinary Engineering

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This article presents the results of a study devoted to the analysis of the characteristics of the human step cycle as an indicator that allows you to identify a person on video by the signs of gait. Video recordings of volunteers walking on an electric treadmill were used as the research material. A software package has been developed that allows calculating the parameters of the step cycle used for processing the material. The average values of such characteristics of the step cycle were obtained and analyzed, such as the duration of the transition period and double support as a percentage of the step cycle and seconds, the length of the step cycle in seconds, walking frequency, walking pace separately for men, women and for the entire sample as a whole. The change of the listed indicators depending on the walking speed is investigated, the change in the frequency of steps with increasing speed is analyzed. A method of identifying a person in a video based on the characteristics of a step cycle is proposed, which allows comparing the digital characteristics of steps and making a reasonable conclusion about their similarity or difference. A software package has been developed to determine the anthropometric parameters of an individual in a video based on the characteristics of the step cycle. The obtained results can be used in forensic medicine for conducting expertise on identification of a person by signs of gait.

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Section: Introductionmentioning

confidence: 99%