{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001360935,0.000871259,0.0009657642,0.001313585,0.0004041517,0.002165759,0.001825597,0.001638684,0.001363006],"category_scores_gemma":[0.005234053,0.0008784332,0.001323704,0.001321873,0.0007760234,0.00251622,0.001598866,0.001581283,0.001184614],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006725512,"about_ca_system_score_gemma":0.0005074573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002349354,"about_ca_topic_score_gemma":0.001741805,"domain_scores_codex":[0.99888,0.0002945439,0.00004384456,0.0002599046,0.0004646044,0.00005718153],"domain_scores_gemma":[0.9984023,0.0006685813,0.0002249033,0.000352741,0.0002791649,0.00007223485],"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":[0.0002381064,0.0001101985,0.001201477,0.0001864825,0.0001756021,0.0001777498,0.0002425908,0.4249427,0.02531845,0.03357548,0.00413783,0.5096934],"study_design_scores_gemma":[0.00001139419,0.00003212952,0.0002047385,0.00001406388,0.00001616868,0.0000732304,0.00001110274,0.9794687,0.003780894,0.01334294,0.003027227,0.00001751992],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002246224,0.0002603918,0.9961779,0.00005003028,0.0000393392,0.00001389613,0.00002669931,0.0005032146,0.0006823193],"genre_scores_gemma":[0.3935425,0.00129854,0.5980994,0.0001848916,0.0002089246,0.0002047374,0.0004356768,0.0002883487,0.005736936],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002349354,"threshold_uncertainty_score":0.00719744,"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."}}