{"id":"W2376627529","doi":"","title":"Adaptive Infrared Target Segmentation Algorithm Based on Particle Filter","year":2008,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Infrared Target Detection Methodologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particle filter; Computer science; Segmentation; Pixel; Algorithm; Artificial intelligence; Entropy (arrow of time); Image segmentation; Monte Carlo method; Monte Carlo localization; Filter (signal processing); Pattern recognition (psychology); Computer vision; Mathematics; Statistics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006077581,0.0005623249,0.0009778501,0.0009293539,0.0005052107,0.0006684436,0.001162536,0.0009167394,0.001142129],"category_scores_gemma":[0.001181122,0.000435679,0.0006324445,0.0006630247,0.0005110048,0.001100786,0.0006561558,0.0007733041,0.000374451],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007948345,"about_ca_system_score_gemma":0.001047854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005323085,"about_ca_topic_score_gemma":0.003142221,"domain_scores_codex":[0.999554,0.00006116575,0.00002126943,0.0001231158,0.0001974097,0.00004290312],"domain_scores_gemma":[0.999617,0.0001639533,0.00005170491,0.0000311727,0.0001172424,0.00001889738],"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":[0.0002235416,0.0001094536,0.001841927,0.0001436677,0.0001120148,0.0001449593,0.0002326507,0.4341163,0.03679635,0.02200422,0.002896692,0.5013782],"study_design_scores_gemma":[0.00001731048,0.00002616141,0.0003345584,0.000004861282,0.00001515667,0.00005521343,0.000008457287,0.9908041,0.004600751,0.002601495,0.00151988,0.00001212574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002687076,0.00006174645,0.9965389,0.00002462507,0.00001687362,0.00001456822,0.000005949852,0.0002719239,0.0003783297],"genre_scores_gemma":[0.1766631,0.0002693972,0.8196117,0.00009629977,0.00005439873,0.0001730504,0.00009573606,0.0001051836,0.002931153],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005323085,"threshold_uncertainty_score":0.01058418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0277760284473486,"score_gpt":0.2407310200563602,"score_spread":0.2129549916090116,"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."}}