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Comparative study for human activity recognition techniques / (Record no. 47951)

MARC details
000 -LEADER
fixed length control field 01920cam a2200325 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250223031059.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 141026s2014 ua ho f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency EG-GiCUC
Language of cataloging eng
Transcribing agency EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library Deposite
097 ## - Thesis Degree
Thesis Level M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number Cai01.13.06.M.Sc.2014.Am.C
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Amira Ali Bebars Ali
245 10 - TITLE STATEMENT
Title Comparative study for human activity recognition techniques /
Statement of responsibility, etc. Amira Ali Bebars Ali ; Supervised Elsayed E. Hemayed
246 15 - VARYING FORM OF TITLE
Title proper/short title دراسة مقارنة لطرق التعرف على النشاط البشرى
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cairo :
Name of publisher, distributor, etc. Amira Ali Bebars Ali ,
Date of publication, distribution, etc. 2014
300 ## - PHYSICAL DESCRIPTION
Extent 73 P. :
Other physical details facsimiles , photographs ;
Dimensions 30cm
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering
520 ## - SUMMARY, ETC.
Summary, etc. Human activity recognition is an active area of research in computer vision with wide scale applications in video surveillance, motion analysis, and virtual reality interfaces, robot navigation and recognition, sports video analysis etc. It consists of analyzing the characteristic features of various human actions and classifying them. Part - based approach is the main focus of this thesis, a general human action recognition framework that includes spatio - temporal interest point detection, building the descriptor, constructing the codebook, and testing on the pre - trained classifier. We focus on; detectors for accurately detecting the humman action, descriptors to describe information around interest points, and classifiers for performing accurate classification
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term Human activity recognition
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term MOSIFT descriptor
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term MOSIFT detector
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Elsayed Eisa Hemayed ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Nazla
Reviser Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger Samia
Reviser Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Thesis
Holdings
Source of classification or shelving scheme Not for loan Home library Current library Date acquired Full call number Barcode Date last seen Koha item type Copy number
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة قاعة الرسائل الجامعية - الدور الاول 11.02.2024 Cai01.13.06.M.Sc.2014.Am.C 01010110063799000 22.09.2023 Thesis  
Dewey Decimal Classification   المكتبة المركزبة الجديدة - جامعة القاهرة مخـــزن الرســائل الجـــامعية - البدروم 11.02.2024 Cai01.13.06.M.Sc.2014.Am.C 01020110063799000 22.09.2023 CD - Rom 63799.CD