{"id":"W2152865820","doi":"10.1109/cccrv.2004.1301414","title":"Visual tracking using active appearance models","year":2004,"lang":"en","type":"article","venue":"","topic":"Face recognition and analysis","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Active appearance model; Initialization; Computer vision; Computer science; Artificial intelligence; Visibility; Video tracking; Tracking (education); Object (grammar); Task (project management); Robot; Track (disk drive); Image (mathematics); Engineering","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":[0.0000555354,0.00006422803,0.00008357107,0.00007256486,0.00008680646,0.00009030538,0.0001838601,0.00002482673,0.00001481963],"category_scores_gemma":[0.000004348914,0.00005744955,0.00006371863,0.0003365481,0.00001481557,0.0008790084,0.00004560874,0.00005732995,0.0000588805],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004303692,"about_ca_system_score_gemma":0.00003973653,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007030771,"about_ca_topic_score_gemma":0.00001061102,"domain_scores_codex":[0.9994117,0.00001328149,0.00008859424,0.0001968158,0.0001424123,0.000147186],"domain_scores_gemma":[0.9997519,0.000005850917,0.00002940825,0.000110965,0.00005149844,0.0000503277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006621698,0.0002955728,0.00003098002,0.00001497152,0.00008652247,0.00003053027,0.002099192,0.4585766,0.02528038,0.1268278,0.000009288485,0.3867415],"study_design_scores_gemma":[0.0002193626,0.0000116996,0.00004068484,0.0000267713,0.00000512329,0.000008446887,0.00009182574,0.9469431,0.03459033,0.01792875,0.00001566692,0.0001182251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0841786,0.00002491012,0.912371,0.0002671981,0.00003900651,0.00002899962,2.544622e-7,0.0001049273,0.00298505],"genre_scores_gemma":[0.9597136,0.000006317591,0.03985002,0.0003500472,0.00001904463,0.000001018923,2.93394e-7,0.000003221428,0.00005648689],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.875535,"threshold_uncertainty_score":0.2342725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05020565475835925,"score_gpt":0.2975733727990234,"score_spread":0.2473677180406641,"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."}}