May 14, 2024, 4:46 a.m. | Jing Xu, Wentao Shi, Sheng Ren, Pan Gao, Peng Zhou, Jie Qin

cs.CV updates on arXiv.org arxiv.org

arXiv:2405.07293v1 Announce Type: new
Abstract: In the field of transportation, it is of paramount importance to address and mitigate illegal actions committed by both motor and non-motor vehicles. Among those actions, wrong-way cycling (i.e., riding a bicycle or e-bike in the opposite direction of the designated traffic flow) poses significant risks to both cyclists and other road users. To this end, this paper formulates a problem of detecting wrong-way cycling ratios in CCTV videos. Specifically, we propose a sparse sampling …

abstract arxiv bike cctv cs.ai cs.cv cycling detection importance sampling transportation type vehicles videos

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