GAIT RECOGNITION PROGRESS IN RECOGNIZING IMAGE CHARACTERISTICS

Authors

  • ASADULLAH KHAN
  • F Ahmad
  • YASER DAANIAL KHAN
  • DAOJING HE
  • Mudasser Naseer

DOI:

https://doi.org/10.21015/vtcs.v9i1.404

Abstract

We present a humans credentials system centered on ambulation characteristics. This problem is as eminent as acoustic gait recognition. The objective of the scheme is to explore sounds radiated by walking persons (largely the musical note sounds) and identifies those folks. A cyclic model topology is engaged to denote individual gait cycles. This topology permits modeling and detecting individual steps, leading to very favorable identification rates.

Downloads

Published

2016-03-22

How to Cite

KHAN, A., Ahmad, F., KHAN, Y. D., HE, D., & Naseer, M. (2016). GAIT RECOGNITION PROGRESS IN RECOGNIZING IMAGE CHARACTERISTICS. VAWKUM Transactions on Computer Sciences, 4(1), 1–10. https://doi.org/10.21015/vtcs.v9i1.404

Issue

Vol. 4 No. 1 (2016): January-December

Section

Articles

License

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC-By) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

                                      

This work is licensed under a Creative Commons Attribution  License CC BY