{"id":"W7126188613","doi":"10.18280/isi.301219","title":"Multi-Face Detection and Recognition in Video Streams Using Tracker-Assisted, Color-Filtered Haar Cascade and Lightweight Convolutional Neural Network Training","year":2025,"lang":"","type":"article","venue":"Ingénierie des systèmes d information","topic":"Face recognition and analysis","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Convolutional neural network; Training (meteorology); Pattern recognition (psychology); Cascade; Artificial neural network; STREAMS; Training set","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0009802643,0.000475817,0.0006149292,0.0009892604,0.001053266,0.001256316,0.0002211645,0.0004211985,0.00002256601],"category_scores_gemma":[0.000241479,0.0005319255,0.0001348002,0.001946245,0.0003724972,0.006225412,0.000154497,0.0004755229,0.00001545508],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006626514,"about_ca_system_score_gemma":0.0003122211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005431367,"about_ca_topic_score_gemma":0.0007730543,"domain_scores_codex":[0.9965084,0.0004088481,0.001494166,0.0005362102,0.0003554579,0.0006969539],"domain_scores_gemma":[0.9982133,0.0002405558,0.0007013989,0.0002414956,0.0004030585,0.0002002284],"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":[0.0001338061,0.00007697812,0.001891529,0.0004905903,0.000158924,0.000009650469,0.01322778,0.007776663,0.001355763,0.0001965382,0.00001307606,0.9746687],"study_design_scores_gemma":[0.002006863,0.0001190348,0.02089569,0.001361125,0.0001538606,0.0002070734,0.003992274,0.9680486,0.001302319,0.001157493,0.0002336891,0.0005219434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7222871,0.001149514,0.2747349,0.0001154454,0.0006607863,0.0005893167,0.00005471471,0.0001065284,0.0003016746],"genre_scores_gemma":[0.9838563,0.0004463193,0.01516426,0.000233409,0.00008844047,0.00005074694,0.0001048143,0.0000138875,0.00004187506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9741468,"threshold_uncertainty_score":0.9997805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03834137950218012,"score_gpt":0.2559110575097441,"score_spread":0.217569678007564,"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."}}