Simplified Real-time Categorized Vehicle Counting and Speed Estimation
This paper presents a traffic monitoring system that counts, categorizes, and measures the speed of vehicles seen by a stationary camera. Designed to run on low-power hardware, reductions and optimizations on existing algorithms were implemented. The system achieved 3.7 fps using only five watts of power and a count within 10% of the true value with a detector having 95% recall and 95% precision.
Authors
- Percival Magpantay (ORCID: https://orcid.org/0000-0003-4400-2262)
- Ian Christian B. Fernandez (ORCID: https://orcid.org/0000-0001-7280-2692)
- John Richard E. Hizon
- Marc Rosales
Institutions
- University of the Philippines Diliman (PH)
Publication Details
- Published
- 2024-08-19
- DOI
- https://doi.org/10.1109/isocc62682.2024.10762299
- Primary Topic
- Traffic Prediction and Management Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00