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Enhancing Traffic Safety with Parallel Dense Video Captioning for End-to-End Event Analysis
April 15, 2024, 4:44 a.m. | Maged Shoman, Dongdong Wang, Armstrong Aboah, Mohamed Abdel-Aty
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper introduces our solution for Track 2 in AI City Challenge 2024. The task aims to solve traffic safety description and analysis with the dataset of Woven Traffic Safety (WTS), a real-world Pedestrian-Centric Traffic Video Dataset for Fine-grained Spatial-Temporal Understanding. Our solution mainly focuses on the following points: 1) To solve dense video captioning, we leverage the framework of dense video captioning with parallel decoding (PDVC) to model visual-language sequences and generate dense caption …
analysis arxiv captioning cs.cv event safety traffic traffic safety type video
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