{"id":"W2152363040","doi":"10.1109/rose.2009.5355997","title":"Active people tracking by a PTZ camera in IP surveillance system","year":2009,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Artificial intelligence; Computer vision; Optical flow; Frame rate; Frame (networking); Classifier (UML); Feature extraction; Histogram; Tracking system; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001029001,0.0001942365,0.0003674781,0.000129324,0.00008912983,0.0001806005,0.0007056657,0.00008529604,0.000007644136],"category_scores_gemma":[0.00007947013,0.0001760087,0.00007434695,0.0008964848,0.00001476396,0.0005915518,0.00005678834,0.0002134055,0.00003562124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001224978,"about_ca_system_score_gemma":0.0000570282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004714473,"about_ca_topic_score_gemma":0.0006483638,"domain_scores_codex":[0.9980422,0.0003280407,0.0003224117,0.0005435537,0.0002918679,0.0004719608],"domain_scores_gemma":[0.998889,0.000282527,0.0001067622,0.000552297,0.00007807019,0.00009140015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000061693,0.0002783177,0.06466424,0.00006310912,0.00003248133,0.0001177524,0.00386152,0.0003805649,0.003457504,0.03197621,0.002936731,0.8921699],"study_design_scores_gemma":[0.001328065,0.0002300555,0.9481376,0.0001222292,0.000002822543,0.00009620297,0.0004962733,0.03386298,0.01125872,0.00139243,0.002222103,0.0008504451],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2458062,0.0004053403,0.7328663,0.002171544,0.0005163478,0.0003258648,0.000008680707,0.0007344874,0.01716521],"genre_scores_gemma":[0.9836273,0.00001681951,0.01571898,0.0004247194,0.0000478516,0.000009678492,0.000003360107,0.000008581536,0.0001427369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8913195,"threshold_uncertainty_score":0.7177429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01277483024493821,"score_gpt":0.2689872605571156,"score_spread":0.2562124303121774,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}