AI SearchDevelopment of vehicle speed estimation algorithm in video surveillance using deep learning (Record no. 29627)
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| fixed length control field | 04130nas a2200421 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260818090943.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 260112s20259999th u ms t 000 eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b1246983x |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Diss. no.ISE-24-04 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Keattisak Sangsuwan |
| 245 10 - TITLE STATEMENT | |
| Title | Development of vehicle speed estimation algorithm in video surveillance using deep learning |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2024 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 122 leaves : |
| Other physical details | ill. +1 online resource |
| 490 1# - SERIES STATEMENT | |
| Series statement | Dissertation ; |
| Volume/sequential designation | no. ISE-24-04 |
| 500 ## - GENERAL NOTE | |
| General note | A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Microelectronics and Embedded Systems |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (Ph. D.) - Asian Institute of Technology, 2024 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Camera systems are widely used as a road traffic monitoring system, but the system does not have the ability to estimate the speed of the vehicles that are moving on the road. In order to use the system as a speed camera, a speed sensor such as RADAR is required to integrate with the system. However, thanks to the advanced development of computer vision technology, there is a potential possibility to integrate the speed estimation function into the camera system for vehicle speed estimation without using the speed sensor. In this work, a novel method to estimate speed of the vehicle in a traffic monitoring video without using the additional speed sensor is presented.The implementation of two-speed measurement models is proposed including the measurement of the traveling distance of the vehicle in a given unit of time and the measurement of the traveling time of the vehicle in a given unit of distance. Parameters of the models are received by defining four virtual intrusion lines on the road surface in the camera field of view. Then, YOLOv3, DeepSORT, GoodFeatureToTrack, and Pyramidal Lucas Kanade optical flow algorithms are implemented to detect and track the target vehicle. From the tracking data, pixel displacement between two consecutive frames (before and after the vehicle crosses the lines) is measured as the traveling distance. The number of frames that the vehicle uses while moving from the first line to the other lines is measured as the traveling time. These two parameters at each intrusion line are used as speed measurement metrics.The speed measurement metrics are solved by using tracking data of 20 vehicles at 4 different ground truth speeds measured by a laser speed gun. Then, the metrics are used to estimate the speed of 813 vehicles. The best accuracy is with Mean Absolute Error (MAE) of 3.38 km/h and Root Mean Squared Error (RMSE) of 4.69 km/h. The same dataset is tested on a Multilayer Perceptron Neural Network model. It can reach accuracy with MAE of 3.07 km/h and RMSE of 3.98 km/h. The open dataset BrnoCompSpeed is used to confirm our proposed method. The best accuracy from our method is with MAE of 1.81 km/h and this is agreed by its RMSE of 2.52 km/h. |
| 650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Vehicles |
| General subdivision | Tracking |
| 650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Vehicles |
| General subdivision | Speed |
| -- | Data processing |
| 650 0# - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Deep learning (Machine learning) |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mongkol Ekpanyapong, |
| Relator term | Chairperson |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Manukid Parnichkun, |
| Relator term | Examination Committee |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Dailey, Matthew N., |
| Relator term | Examination Committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Royal Thai Government, |
| Relator term | Scholarship Donor |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | AIT Fellowship, |
| Relator term | Scholarship Donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Dissertation ; |
| Volume/sequential designation | no. ISE-24-04 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B23331">http://203.159.5.9/ait-thesis/detail.php?q=B23331</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b1246983x |
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| a | 260123 |
| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 260116 |
| First date, FD (RLIN) | m |
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| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
| l | mnarc |
| 945 ## - LOCAL PROCESSING INFORMATION (OCLC) | |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 40-Archives |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 61-CD-ROM |
| 909 ## - LOCAL ITEMS USED | |
| Barcode | Barcode : 30050120422646 |
| CREATED | CREATED : 2026-12-01 |
| RECORD Id | RECORD # : i13565515 |
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| Barcode | Barcode : - |
| CREATED | CREATED : 2026-12-01 |
| RECORD Id | RECORD # : i13565527 |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Diss. no.ISE-24-04 | 30050120422646 | 18/08/2026 | 1 | 18/08/2026 | 40-Archives | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 18/08/2026 | AIT Diss. no.ISE-24-04 | 18/08/2026 | 1 | 18/08/2026 | 61-CD-ROM |