[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"branding":3,"analytics":7,"article-new-feed-forward-ai-tracks-people-and-recovers-video-scale":10,"sections":34},{"siteName":4,"siteTagline":5,"publisherName":4,"contactEmail":6},"The Revision","Tech news, decoded.","editor@therevision.news",{"gaMeasurementId":8,"adsenseClientId":9},"G-ZW2MV82GYR","ca-pub-8533917693782264",{"article":11},{"id":12,"slug":13,"title":14,"dek":15,"body_md":16,"tags_json":17,"published_at":18,"created_at":19,"updated_at":20,"status":21,"review_note":22,"review_notes":23,"image_url":22,"persona_id":22,"persona_name":22,"section":24,"tags":25,"sources":29,"feedback":33,"feedback_at":22,"cost_usd":33,"total_tokens":33},7852,"new-feed-forward-ai-tracks-people-and-recovers-video-scale","New Feed-Forward AI Tracks People and Recovers Video Scale","A new feed-forward model estimates real-world scale and tracks people through video in one pass, beating slower optimization-based rivals on some benchmarks.","An AI model can now estimate how big people and scenes actually are in a video, and keep track of who's who, without the slow scene-by-scene optimization older methods need.\n\nThe system, called WildHSR, builds on 3D foundation models that already reconstruct cameras and rough geometry from video in a single forward pass but have no sense of true scale, so a person in the output could look life-sized or shrunk to a foot tall. The researchers trained a small add-on, a Scale Readout head, to estimate metric scale from the foundation model's internal features, bootstrapping it on ordinary web video before fine-tuning on clips with exact scale measurements. Separately, they found the foundation model's existing internal features already encode which person is which across frames, so a tiny added projection can track individual people through a clip using that signal along with body motion and confidence scores. On the EMDB-2 benchmark, WildHSR became the first feed-forward method in the comparison to beat the best optimization-based approach on two accuracy measures, and on a second benchmark, RICH, it topped every other feed-forward method tested.\n\nMost systems that reconstruct people and scenes together still rely on slow, per-video optimization to line things up. WildHSR does the whole job in one forward pass, running at 10.1 frames per second on a single GPU, which is the kind of speed that could make this sort of reconstruction useful for sports analytics or AR previews rather than just offline research pipelines.\n\nIt's a preprint, not a shipped product, and 10.1 fps is fast for this field but still well short of real-time, so the real test is whether the tracking holds up on video messier than the curated benchmark clips it was scored on.","[\"ai\",\"computer-vision\",\"3d-reconstruction\",\"research\"]","2026-09-25T04:00:00.000Z","2026-09-26T02:52:52.990Z","2026-09-26T02:52:58.212Z","published",null,[],"ai",[24,26,27,28],"computer-vision","3d-reconstruction","research",[30],{"name":31,"url":32},"arXiv cs.AI","https:\u002F\u002Farxiv.org\u002Fabs\u002F2609.29106",0,{"sections":35},[36,40,45,50,55,60,65,70,75,80,85,90,95,100],{"name":37,"slug":24,"count":38,"latest_published_at":39},"AI",4557,"2026-09-25T17:16:30.000Z",{"name":41,"slug":42,"count":43,"latest_published_at":44},"Security","security",741,"2026-09-25T15:52:13.000Z",{"name":46,"slug":47,"count":48,"latest_published_at":49},"Policy","policy",390,"2026-09-25T16:24:59.000Z",{"name":51,"slug":52,"count":53,"latest_published_at":54},"Deals","deals",256,"2026-09-25T17:00:53.000Z",{"name":56,"slug":57,"count":58,"latest_published_at":59},"Hardware","hardware",185,"2026-09-25T15:00:22.000Z",{"name":61,"slug":62,"count":63,"latest_published_at":64},"Science","science",140,"2026-09-25T11:55:23.000Z",{"name":66,"slug":67,"count":68,"latest_published_at":69},"Consumer Tech","consumer-tech",132,"2026-09-25T15:30:00.000Z",{"name":71,"slug":72,"count":73,"latest_published_at":74},"Software","software",88,"2026-09-24T23:06:55.000Z",{"name":76,"slug":77,"count":78,"latest_published_at":79},"Dev Tools","dev-tools",82,"2026-09-25T09:59:40.000Z",{"name":81,"slug":82,"count":83,"latest_published_at":84},"Startups","startups",76,"2026-09-25T18:33:59.000Z",{"name":86,"slug":87,"count":88,"latest_published_at":89},"Gaming","gaming",48,"2026-09-25T18:35:21.000Z",{"name":91,"slug":92,"count":93,"latest_published_at":94},"General","general",46,"2026-09-25T02:12:57.000Z",{"name":96,"slug":97,"count":98,"latest_published_at":99},"Reviews","reviews",30,"2026-09-24T20:07:31.000Z",{"name":101,"slug":102,"count":103,"latest_published_at":104},"How-To","how-to",6,"2026-06-16T09:00:00.000Z"]