{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003659876,0.0002825023,0.0004445498,0.0005933704,0.0002139102,0.0003692821,0.0004904094,0.0004751898,0.0009655497],"category_scores_gemma":[0.000727816,0.0002060679,0.0001938271,0.0002901733,0.0002009344,0.0007609599,0.0003370559,0.0003036582,0.0003149417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002775055,"about_ca_system_score_gemma":0.0001438088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001623234,"about_ca_topic_score_gemma":0.001679132,"domain_scores_codex":[0.999608,0.00006523806,0.00001610455,0.00009431075,0.0001854543,0.00003094087],"domain_scores_gemma":[0.9997508,0.00006158039,0.00003963689,0.00002576486,0.00009653739,0.0000256635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001531826,0.00018258,0.01552076,0.000249657,0.00008034918,0.0006024965,0.0003830729,0.01119387,0.4127885,0.001123898,0.002796601,0.5535465],"study_design_scores_gemma":[0.0001756939,0.001277221,0.050442,0.00006971799,0.0002337282,0.003017144,0.000191429,0.6944269,0.2413661,0.0008124655,0.00790962,0.00007806146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3563825,0.0005678773,0.6351994,0.0001712053,0.0000962912,0.0001562461,0.0001155583,0.00168475,0.005626266],"genre_scores_gemma":[0.8391482,0.0002446565,0.1575329,0.0001001442,0.00005144659,0.00006693239,0.0001036836,0.00003325693,0.002718834],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001623234,"threshold_uncertainty_score":0.003230035,"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."}}