{"id":"W7028539617","doi":"","title":"An Experimental Study on ObjectTracking","year":2025,"lang":"en","type":"article","venue":"Hogskolan Ihalmstad (Halmstad University)","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Particle filter; Robustness (evolution); Kalman filter; Bounding overwatch; Adverse weather; Tracking (education); Tracking system","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002130113,0.0009646032,0.0008140144,0.0006828103,0.001029661,0.001241001,0.001444382,0.001455369,0.007027939],"category_scores_gemma":[0.008964324,0.0004366944,0.0006036044,0.0009841354,0.0009128972,0.001762121,0.001562627,0.0009929711,0.001837224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006619885,"about_ca_system_score_gemma":0.0009347551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004762209,"about_ca_topic_score_gemma":0.005164359,"domain_scores_codex":[0.9977534,0.000369314,0.0001970481,0.0008303751,0.0006185595,0.0002312014],"domain_scores_gemma":[0.9941215,0.00251146,0.0004031065,0.001422753,0.001299876,0.0002413701],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.006501277,0.007416391,0.03152645,0.002437819,0.000476143,0.001327138,0.001962112,0.09387415,0.3514456,0.009004978,0.01718711,0.4768409],"study_design_scores_gemma":[0.0007163547,0.01010235,0.05297082,0.0004818039,0.0003671517,0.001696838,0.001800199,0.4971661,0.372071,0.01010902,0.05223142,0.0002868738],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8156493,0.001055901,0.160483,0.0004388677,0.0007287641,0.0008988506,0.003834405,0.002735631,0.01417528],"genre_scores_gemma":[0.8525311,0.0007837344,0.1269933,0.0003830801,0.00007540044,0.000795134,0.008406326,0.0004342164,0.009597785],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007027939,"threshold_uncertainty_score":0.02351087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02356571985866551,"score_gpt":0.3024380936203891,"score_spread":0.2788723737617236,"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."}}