{"id":"W2098133488","doi":"10.1109/ccece.1998.682761","title":"Detection of moving objects in facial image sequences","year":2002,"lang":"en","type":"article","venue":"","topic":"Image and Signal Denoising Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Artificial intelligence; Computer vision; Computer science; Segmentation; Edge detection; Motion estimation; Image segmentation; Wavelet transform; Wavelet; Merge (version control); Image processing; Pattern recognition (psychology); 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":[0.0002795165,0.00005054786,0.00008575564,0.0001165103,0.00003103352,0.0000502471,0.0002347598,0.00002768358,0.00003823842],"category_scores_gemma":[0.00007109975,0.00004406775,0.00002765232,0.000345166,0.00002628756,0.0004821748,0.00005145886,0.00006137205,0.00003055043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001634897,"about_ca_system_score_gemma":0.000007950142,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000185171,"about_ca_topic_score_gemma":0.00004587869,"domain_scores_codex":[0.9993833,0.00008675924,0.000136961,0.000143359,0.0001271891,0.000122451],"domain_scores_gemma":[0.9997124,0.00006173258,0.00003555203,0.0001402296,0.00003053368,0.00001957273],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000002150065,0.00002315629,0.000130351,0.000008549699,0.000001743671,0.00002457369,0.001232567,0.00003751417,0.7290387,0.0005213053,0.00002027182,0.2689591],"study_design_scores_gemma":[0.0002860902,0.00007025019,0.002059156,0.00001458859,0.000001231083,0.00001434743,0.00005342255,0.1343814,0.8595871,0.003345555,0.00007663306,0.0001102342],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.101308,0.00007378246,0.872802,0.00006708853,0.0001611056,0.00004587219,1.292805e-7,0.00005401096,0.02548801],"genre_scores_gemma":[0.8886076,0.00000552281,0.1109489,0.00005961871,0.00001735287,0.000001316708,2.848351e-8,0.000001740154,0.0003578416],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7872997,"threshold_uncertainty_score":0.1797031,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02674599957910422,"score_gpt":0.2667414518238495,"score_spread":0.2399954522447452,"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."}}