Roadside cameras play a crucial role in road traffic,serving as an indispensable part of integrated vehicleroad-cloud systems due to their extensive visibility and monitoring capabilities.Nevertheless,these cameras fa...Roadside cameras play a crucial role in road traffic,serving as an indispensable part of integrated vehicleroad-cloud systems due to their extensive visibility and monitoring capabilities.Nevertheless,these cameras face challenges in continuously tracking targets across perception domains.To address the issue of tracking vehicles across nonoverlapping perception domains between cameras,we propose a cross-camera vehicle tracking method within a Vehicle–Road–Cloud system that integrates visual and spatiotemporal information.A Gaussian model with microlevel traffic features is trained using vehicle information obtained through online tracking.Finally,the association of vehicle targets is achieved through the Gaussian model combining time and visual feature information.The experimental results indicate that the proposed system demonstrates excellent performance.展开更多
基金the National Natural Science Foundation of China(52172389)Natural Science Foundation of Guangdong Province(2022A1515012080)Tsinghua-Toyota Joint Research Institute Interdisciplinary Program.
文摘Roadside cameras play a crucial role in road traffic,serving as an indispensable part of integrated vehicleroad-cloud systems due to their extensive visibility and monitoring capabilities.Nevertheless,these cameras face challenges in continuously tracking targets across perception domains.To address the issue of tracking vehicles across nonoverlapping perception domains between cameras,we propose a cross-camera vehicle tracking method within a Vehicle–Road–Cloud system that integrates visual and spatiotemporal information.A Gaussian model with microlevel traffic features is trained using vehicle information obtained through online tracking.Finally,the association of vehicle targets is achieved through the Gaussian model combining time and visual feature information.The experimental results indicate that the proposed system demonstrates excellent performance.
