[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"aihot-art-86764":3},{"itemId":4,"vertical":5,"category":6,"source":7,"score":8,"title":9,"summary":10,"analysis":11,"url":12,"coverUrl":13,"direction":13,"marketSignal":13,"publishedAt":14},"86764","ai","技巧与观点","NVIDIA Technical Blog",60,"使用 NVIDIA DeepStream 9.1 构建多摄像头 3D 追踪应用","NVIDIA 发布 DeepStream 9.1，用于构建多摄像头 3D 追踪应用。","NVIDIA DeepStream 9.1 推出多摄像头 3D 追踪功能，解决跨摄像头目标跟踪的痛点。\n· 单摄像头 2D 追踪缺乏深度信息，且目标离开画面后容易丢失，限制了仓库安全、零售分析等场景的应用。\n· 现有 3D 追踪方法需要手动校准，部署复杂。\n· DeepStream 9.1 利用 AI 实现自动化的多摄像头 3D 追踪，无需手动干预。\n· 该功能可实时追踪同一目标在不同摄像头视野中的移动，提供可靠的深度信息。\n影响\u002F看点：这一更新将大幅降低多摄像头视频分析的门槛，推动智慧仓储、零售和楼宇监控等领域的智能化升级。","https:\u002F\u002Fdeveloper.nvidia.com\u002Fblog\u002Fbuild-a-multi-camera-3d-tracking-application-with-nvidia-deepstream-9-1-skills\u002F",null,"2026-07-16 07:00:00"]