Gait Identification using Neural Network

Abstract

Biometric System has become more important in security and verification of any human, which is under surveillance. Identification from distance is also possible by this technology. Researchers are taking interest to find out identification of gait by unknown manners and without informing the human as object. We are going to offer sufficient self-similarity gait recognition system for identification using artificial neural network. In which background modeling is made by video camera, in front of camera movement will be generated as to collect frames as segments using background subtraction algorithm. Then logically head (Skelton) is used to find out the walking object as a walking figure. In short, when a video framing is entered, the offered system identifies the gait properties and body based. Offered system is worked with collected gait dataset with different trials. Video framing sequence showed the algorithm attains recognition performance with its accomplishment. Human as Object identification method using gait is a different technique to verify an individual by the way he move or walk and by the intensity of moving on feet. Biometric recognition is method to assess the behavioural properties of anybody by setting up different pattern as according to need. Gait recognition is type of that biometric system which works without giving any hint to moving object quickly. This is the best way of monitoring the people. Using this system different environment can be controlled like airports, banks, airbase to detect the danger and threat.

Authors and Affiliations

Muhammad Ramzan Talib, Ayesha Shafique, Muhammad Kashif Hanif, Muhammad Umer Sarwar

Keywords

Related Articles

Prioritizing Road Maintenance Activities using GIS Platform and Vb.net

One of the most important factors for the sustainable development of any country is the quality and efficiency of its transportation system. The principled and accurate maintenance of roads, in addition to having a major...

Security Issues in Cloud Computing and their Solutions: A Review

Cloud computing is an internet-based, emerging technology, tends to be prevailing in our environment especially computer science and information technology fields which require network computing on large scale. Cloud com...

Attractiveness Analysis of Quiz Games

Quiz games are played on platforms such as television game shows, radio game shows, and recently, on mobile apps. In this study, HQ Trivia and SongPop 2 were chosen as the benchmark. Each game data have been collected fo...

An Intelligent Semi-Latin Square Construct for Measuring Human Capital Intelligence in Recruitment

Processing speed and memory recall ability are two major Human Capital Intelligence attributes required for recruitment. Matzel identified five domains of Intelligence. Unfortunately, there were no stated means for measu...

Prolonging Network Lifetime in Wireless Sensor Networks with Path-Constrained Mobile Sink

Many studies in recent years have considered the use of mobile sinks (MS) for data gathering in wireless sensor networks (WSN), so as to reduce the need for data forwarding among the sensor nodes (SN) and thereby prolong...

Download PDF file
  • EP ID EP260675
  • DOI 10.14569/IJACSA.2017.080909
  • Views 102
  • Downloads 0

How To Cite

Muhammad Ramzan Talib, Ayesha Shafique, Muhammad Kashif Hanif, Muhammad Umer Sarwar (2017). Gait Identification using Neural Network. International Journal of Advanced Computer Science & Applications, 8(9), 67-71. https://europub.co.uk/articles/-A-260675