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Document details - Identity Recognition of Humans in Video Surveillance System Using Cumulative Foot Pressure Images

Journal Volume 10, Issue 9, September 2021, Article 16893325 Naseer R, Dr.Mohamed Rafi , " Identity Recognition of Humans in Video Surveillance System Using Cumulative Foot Pressure Images " , International Journal of Application or Innovation in Engineering & Management (IJAIEM) , Volume 10, Issue 9, September 2021 , pp. 176-183 , ISSN 2319 - 4847.

Identity Recognition of Humans in Video Surveillance System Using Cumulative Foot Pressure Images

    Naseer R, Dr.Mohamed Rafi

Abstract

ABSTRACT In recent years, security has become a major concern. The majority of the security systems consist of fingerprint and face recognition. But there is another form of security that is less discussed i.e. Gait recognition, which is identifying a person by his walking style and foot pressure images. In this paper, we focus on the ground response force which can be utilized to tell the difference in human gaits. The floor-sensor-based image is a two-dimensional image that collects the geographical and historical parameters of ground response force during a single gait cycle. The proposed model is trained on the standard dataset i.e. CASIA -D. The proposed work will demonstrate how these CFPI can be used to identify an individual in many cases such as homeland security, secret lockers in banks. It also helps us in the medical field for injury prevention and diagnosing lower limb problems etc. Keywords- Gait, Security, Floor-sensor, CASIA

  • ISSN: 23194847
  • Source Type: Journal
  • Original language: English

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