Head count for thermal images in H1N1 screening at KLIA / (Record no. 3990)

MARC details
000 -LEADER
fixed length control field 02258ntm a2200253 a 4500
001 - CONTROL NUMBER
control field vtls000073786
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204542.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130815t2012 my da f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0007092(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201906131112
Level of effort used to assign nonsubject heading access points hanafiah
-- 201308151007
-- Fida
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) TK8315 .Z35 2012 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Zalida Wati Ahmad
245 10 - TITLE STATEMENT
Title Head count for thermal images in H1N1 screening at KLIA /
Statement of responsibility, etc. Zalida Wati Ahmad
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent x, 44 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD-ROM
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Electrical Engineering (Electronics)) -- Universiti Malaysia Pahang - 2012
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p.[45-49]
520 3# - SUMMARY, ETC.
Summary, etc. In computer vision field, head detection can be considered as one of the most important problems. Nowadays, H1N1 screening at KLIA for flue detection is done manually. Therefore, this project will detect and count the head for H1N1 screening automatically by applying image processing. The head count will be done at KLIA to monitor the total passenger that will undergo H1N1 screening for record. However, the head count of H1N1 screening is complex since crowded people will lead to overlapping head and head detection will be hard to accomplish. A method based on implementation of Hough transform is applied. This project can detect human head effectively in complex background, and provide a new approach of human head detection especially when the colour information of image is limited. Other than that, shape detection for roundness head will be used as an additional method. Besides that, I also use other method which is cropping and mapping method. Thus, by implementation of one of these methods, the head detection can be automatically counted in order to monitor the passenger that undergoes H1N1 screening at KLIA. The expected outcome of this project is a Graphical User Interface (GUI) in MATLAB that takes thermal images of passenger screening at KLIA and output detected the head in the images with total head count.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image intensifiers
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Electronic cameras
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   TK8315 .Z35 2012 rs Bc. 0000071305 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 6717 | TK8315 .Z35 2012 rs Bc. 0000071306 04/09/2019 1 04/09/2019 Final Year Report

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