Detection of a person in a crowd based on skin color segmentation

Naveena, M; Kumar, G. Hemantha; Navya, P

doi:10.1109/icacci.2016.7732043

Search citation statements

Order By: Relevance

Paper Sections

Select...

Literature Review1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Face recognition in a crowd has been studied by [13]. In this research skin segmentation has been used to many procedures as in other methodological on face recognition.…”

Section: Literature Reviewmentioning

confidence: 99%

Crowd Face Detection with Naive Bayes in Attendance System Using Raspberry Pi

Rahman

Suharjito

2023

E3S Web of Conf.

View full text Add to dashboard Cite

PT. Restu Agung Narogong is a company with a total of 176 employees, queues often occur in the attendance process, both incoming and outgoing attendance. The employee needs to register their attendance. It is time consuming during the shift change. Therefore, a biometric system is needed to support the attendance system to identify employee without registering themselves. One of the alternative biometric systems is face recognition by using a computer vision. The purpose is to implement a crowd face detection with Raspberry Pi using the Naïve Bayes classifier. This system uses an algorithm to extract facial characteristics into mathematical data. Then the data is compared with data from other facial characteristics collected in the database. This device uses Python as a programming language with some of the scientific Python libraries. The testing of the Naïve Bayes method was conducted using a sample of dataset of 370 augmented facial imagery. The accuracy of this implementation is 76.31%, the precision is 78.25% and recall 81.25%. The background and lighting of the captured image affect the accuracy of this device.

show abstract

“…Face recognition in a crowd has been studied by [13]. In this research skin segmentation has been used to many procedures as in other methodological on face recognition.…”

Section: Literature Reviewmentioning

confidence: 99%

Crowd Face Detection with Naive Bayes in Attendance System Using Raspberry Pi

Rahman

Suharjito

2023

E3S Web of Conf.

View full text Add to dashboard Cite

show abstract

Detection of a person in a crowd based on skin color segmentation

Cited by 1 publication

References 7 publications

Crowd Face Detection with Naive Bayes in Attendance System Using Raspberry Pi

Crowd Face Detection with Naive Bayes in Attendance System Using Raspberry Pi

Contact Info

Product

Resources

About