Toward End-to-End Detection for Traffic Accidents from CCTV Footage

Author:

Muttaqin Hilman Taris1ORCID,Rachmawati Ema1ORCID,Ferdian Edward1ORCID

Affiliation:

1. School of Computing, Telkom University, Indonesia

Publisher

ACM

Reference23 articles.

1. World Health Organization, “Road traffic injuries.” Accessed: Dec. 19, 2023. [Online]. Available: https://www.who.int/news-room/fact-sheets/detail/road-traffic-injuries

2. Real-time image enhancement for an automatic automobile accident detection through CCTV using deep learning

3. Polisi Republik Indonesia, “Pusiknas 2022,” Jurnal Pusiknas Bareskrim Polri, Jun. 2022, Accessed: Dec. 13, 2023. [Online]. Available: https://pusiknas.polri.go.id/web_pusiknas/laporan/1669602881615.pdf

4. National Highway Traffic Safety Administration, “Early Estimate of Motor Vehicle Traffic Fatalities in 2022,” p. 1, Apr. 2023, Accessed: Dec. 26, 2023. [Online]. Available: https://crashstats.nhtsa.dot.gov/Api/Public/ViewPublication/813428

5. A Real-Time Computer Vision Based Approach to Detection and Classification of Traffic Incidents

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