tracking op• Data kinds: table × image2d → table
• Call: import fullseye as fs; fs.ledger.run_bg_esti(model, image) (to call the implementation directly, import mvtrack; mvtrack.run_bg_esti(model, image); from the registry, opsmv.get("run_bg_esti"))
• HALCON equivalent: run_bg_esti (the HALCON reference is a useful guide to its meaning and parameters)
• GPU: none (CPU reference implementation only)
Update the background with one image and return the foreground region.
> The detailed description below is the original text — the summary and the headings are translated.
背景との差の絶対値が threshold を超える画素を前景にする。入力の model は書き換えず、更新後のモデルを model の鍵で返す。画素値は create_bg_esti と同じ [0, 1] の float (整数 dtype と範囲外は ValueError)。空の入力(image が 0 要素)は ValueError。
Args:
model: create_bg_esti の返り。
image: 現在の画像(モデルと同じ形)。
Returns:
model(更新後)と foreground(bool 配列)を持つ dict。
• machine_vision_classics family guide
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• machine_vision_tour — py -3.11 examples/machine_vision_tour.py
• poc_real_bg_kalman_tracking — py -3.11 examples/poc_real_bg_kalman_tracking.py
table as input)map_image · rectify_to_world_plane · change_radial_distortion_image · find_ncc_models · give_bg_esti · update_bg_esti · classify_class_gmm · evaluate_class_gmm
tracking)filter_kalman · create_bg_esti · give_bg_esti · update_bg_esti
*Provenance: mvtrack.py — MV operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.