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arXiv Computer Vision By Taigo Sakai, Kazuhiro Hotta, Hiroki Kouno, Naoki Kato

GRACE: Geometry- and Ray-Aware Camera-Efficient Multi-View Pedestrian Tracking

Read the original on arXiv Computer Vision →

GRACE is a camera‑efficient multi‑view pedestrian tracker that reduces the number of required cameras while maintaining high tracking accuracy. It combines volumetric‑guided fusion of homography‑based BEV features with 3D‑lifted features, uses ray conditioning to incorporate each camera’s viewing direction, and employs BEV Track Recovery to continue existing tracks with low‑confidence detections. On the WildTrack dataset, GRACE raises MOTA from 83.54 to 91.07 compared to the baseline TrackTacular.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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