{"id":"W2991796308","doi":"10.18280/ria.330407","title":"Compact Hardware of Running Gaussian Average Algorithm for Moving Object Detection Realized on FPGA and ASIC","year":2019,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Field-programmable gate array; Application-specific integrated circuit; Computer science; Gaussian; Computer hardware; FPGA prototype; Embedded system; Object (grammar); Artificial intelligence; Physics","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":[0.0002132793,0.0006241481,0.000386174,0.000678034,0.0002466029,0.0006032858,0.00138417,0.0002943102,0.003510179],"category_scores_gemma":[0.0003094604,0.0001976479,0.0002270739,0.0005757926,0.000158201,0.0006435556,0.0002077937,0.0003128054,0.0007043895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004470151,"about_ca_system_score_gemma":0.0005439322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001730919,"about_ca_topic_score_gemma":0.002082484,"domain_scores_codex":[0.9997219,0.00003557218,0.00001464653,0.00006791631,0.0001143965,0.00004553567],"domain_scores_gemma":[0.9998293,0.00003685097,0.00002335825,0.00002915501,0.00006870552,0.00001271813],"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":[0.0008032882,0.0002153754,0.002741826,0.0005717152,0.000167368,0.0004763825,0.0001577522,0.02303873,0.3373554,0.01551299,0.01058988,0.6083693],"study_design_scores_gemma":[0.000325072,0.002510786,0.00722766,0.0001125068,0.0003588252,0.002994555,0.00012452,0.4350119,0.4758795,0.00306575,0.07227702,0.0001118811],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08612081,0.001675147,0.8904061,0.0001889961,0.0002167037,0.0001563224,0.0001689637,0.00782832,0.0132386],"genre_scores_gemma":[0.6029768,0.0005898584,0.3884858,0.0001845246,0.00007425671,0.0001281031,0.0003137355,0.0001160942,0.007130991],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003510179,"threshold_uncertainty_score":0.01174271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03851916740797801,"score_gpt":0.3026671273518354,"score_spread":0.2641479599438574,"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."}}