An Improvement on the Identification via Gait Using the Genetic Algorithm

Document Type : Original Article

Authors

1 PhD student, Birjand University, Birjand, Iran

2 Associate Professor, Faculty of Electrical Engineering, Birjand University, Birjand, Iran

3 Assistant Professor, Birjand University, Tehran, Iran

Abstract

Gait is a biometric feature that can be used to identify individuals from the videos containing this feature. Two main challenges in this type of identification are the change in the direction and angle of walking and the change in the appearance due to various reasons such as carrying a bag or any change in clothes that significantly affect identification. In the present paper, a method is proposed which addresses both challenges. In the proposed method, first, the direction of walking is determined using the position of several pixels in the foot zone of the gait energy image (GEI). The pixels are selected to have the maximum identification percentage. Then, the genetic algorithm is used to identify and mask the zones of GEI with the most changes in both carrying a bag and changing clothes. The GA is capable of identifying and removing the optimized zone with a good precision that makes the system robust when there are changes in the appearance. Logically, the system should have a good performance because the walking direction identification stage is designed in an affordable computing time. Moreover, the GA maintains more useful data comparing to similar techniques. According to the results, an average identification percentage of 95.9% is achieved which confirms the superiority of the proposed method over counterparts .

Keywords

References

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Electronic and Cyber Defense
Volume 9, Issue 4 - Serial Number 36
Serial No. 36, Winter Quarterly
February 2022
Pages 31-42

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History

  • Receive Date: 22 December 2020
  • Revise Date: 26 February 2021
  • Accept Date: 05 July 2021
  • Publish Date: 20 February 2022

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