MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02660cam a2200313 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
EG-GiCUC |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
201227s2020 ua dh 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 |
Cai01.20.01.M.Sc.2020.Al.I |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ali Farouk Ali Mohamed Khalifa |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Improving detection of moving pedestrian in surveillance systems / |
| Statement of responsibility, etc. |
Ali Farouk Ali Mohamed Khalifa ; Supervised Hesham Nabih Elmahdy , Eman Mostafa Badr |
| 246 15 - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
تحسين الكشف عن حركة المشاة فى أنظمة المراقبة |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
Cairo : |
| Name of publisher, distributor, etc. |
Ali Farouk Ali Mohamed Khalifa , |
| Date of publication, distribution, etc. |
2020 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
74 P . : |
| Other physical details |
charts , facsmilies ; |
| Dimensions |
30cm |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Information Technology |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Building reliable surveillance systems is critical for security and safety. A core component of any surveillance system is the human detection model. With the recent advances in the hardware and embedded devices, it becomes possible to make a real-time human detection system with low cost. Different systems and techniques that have been deployed on embedded devices such as Raspberry Pi are surveyed. The characteristics of datasets, feature extraction techniques, and machine learning models are covered. A unified dataset is utilized to compare different systems with respect to accuracy and performance time. Convolutional Neural Networks (CNNs) have replaced traditional feature extraction and machine learning models in detection and classification tasks. Various complex large CNN models are proposed that achieve significant improvement in the accuracy. Lightweight CNN models have been recently introduced for real-time tasks. This work suggests a CNN-based lightweight model that can fit on a limited edge device such as Raspberry Pi.Our proposed model provides better performance time, smaller size and comparable accuracy with existing method. The model performance is evaluated on multiple benchmark datasets. It is also compared with other state-of-the-art models in terms of size, average processing time, and F-score. In addition, some methods are suggested to be adapted to further enhance the model in terms of accuracy, size and performance time |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE |
|---|
| Additional physical form available note |
Issued also as CD |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Improving detection |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Moving pedestrian |
| 653 #4 - INDEX TERM--UNCONTROLLED |
|---|
| Uncontrolled term |
Surveillance systems |
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Eman Mostafa Badr , |
| Relator term |
|
| 700 0# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Hesham Nabih Elmahdy , |
| Relator term |
|
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Amira |
| Reviser |
Cataloger |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) |
|---|
| Cataloger |
Nazla |
| Reviser |
Revisor |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Thesis |
