| id |
ascaad2023_004 |
| authors |
Mohareb, Nabil |
| year |
2023 |
| title |
Computer Vision and Object Tracking from Videos: Architecture Applications |
| source |
C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 833-845. |
| summary |
This paper concisely evaluates video object detection methods in computer vision research, primarily utilizing Python as the programming language. The research contributes to architecture and urban design discussions, employing the Lucas-Kanade optical flow technique to track pedestrians and refine 2D projections. The study aims to enhance the efficacy and understanding of movement behavior patterns in open areas with potential architectural and urban applications. By harnessing object-tracking technology, various benefits arise, including improved client-designer communication, enhanced decision-making, reduced manual workloads, and cost savings by mitigating human errors during field surveys. Case studies, including the Library Plaza at the American University in Cairo (AUC), further illustrate the advantages of implementing these techniques in urban open spaces. |
| series |
ASCAAD |
| email |
nabil.mohareb@aucegypt.edu |
| full text |
 file.pdf (509,180 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/02/13 14:34 |
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