| 000 -LEADER |
|---|
| fixed length control field |
01865nam a2200169Ia 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20200308073526.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
190927s9999 xx 000 0 und d |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
T P2851 2012 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Preferred name for the person |
Paulo, Jerald R. |
| 245 #0 - TITLE STATEMENT |
|---|
| Title |
Security system using face recognition on video clips |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of Publication |
Cebu City |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of Publisher |
CIT-U |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of Publication |
2012 |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
Jerald R. Paulo; Cebu Institute of Technology- University; March 2012; Security Using Face Recognition on Video Clips.<br/>Adviser: Dr. Larmie T. Santos-Feliscuzo<br/> The Security System Using Face Recognition on Video Clips is a security system that aims to add to the security in an establishment. It is a system that recognizes the face of a person on the CCTV camera by using his face from his ID that has RFID. In this way, using of another person?s ID in entering an establishment will be diminished or caught.<br/> The system is implemented by using Microsoft C# 2010 Express, with the help of library EmgCVu. Using the EmgCVu library, the system used Haar cascades in detecting the faces in the input image and the faces in the input video as well. The system then recognizes the faces detected in the input video using the EigenObjectRecognizer class of the EmgCVu library. The said class has a function GetEigenDistances(Image) that gets the Euclidean-eigen distances between Image and every other images recognized. It will return the nearest distance.<br/>For further enhancement, it would be best if the system will use the RFID to get the input image (face). So, when a student swipes his or her id, the system will automatically get the face of the students. Plus, the recognition of the face must be more accurate for better results. To do this, might as well have some classifier. Another solution is using the Recognize(Image) method of the EigenObjectRecognizer class. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| -- |
000-099 |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Item type |
RESERVED BOOKS |
| Source of classification or shelving scheme |
|