Web: http://arxiv.org/abs/2209.07922

Sept. 19, 2022, 1:14 a.m. | Muhammad Monjurul Karim, Ruwen Qin, Zhaozheng Yin

cs.CV updates on arXiv.org arxiv.org

Detecting dangerous traffic agents in videos captured by vehicle-mounted
dashboard cameras (dashcams) is essential to facilitate safe navigation in a
complex environment. Accident-related videos are just a minor portion of the
driving video big data, and the transient pre-accident processes are highly
dynamic and complex. Besides, risky and non-risky traffic agents can be similar
in their appearance. These make risky object localization in the driving video
particularly challenging. To this end, this paper proposes an attention-guided
multistream feature fusion network …

arxiv attention driving feature fusion localization network objects videos

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