{"id":"W4407742664","doi":"10.1007/s00530-025-01722-8","title":"Multi-object tracking with scale-aware transformer and enhanced association strategy","year":2025,"lang":"en","type":"article","venue":"Multimedia Systems","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Heilongjiang Province; National Natural Science Foundation of China","keywords":"Computer science; Cryptography; Transformer; Scale (ratio); Tracking (education); Artificial intelligence; Computer vision; Computer security; Engineering; Cartography; Electrical engineering; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007994266,0.0006459831,0.0008883135,0.000729867,0.0004268082,0.0009109596,0.00108612,0.0006847046,0.001205278],"category_scores_gemma":[0.001732992,0.0003899747,0.0006867301,0.001249604,0.000432058,0.001667427,0.001408734,0.00072124,0.0007436444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003964313,"about_ca_system_score_gemma":0.0007027793,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001944965,"about_ca_topic_score_gemma":0.001994212,"domain_scores_codex":[0.9994196,0.0001024082,0.00003130784,0.0001740145,0.000211447,0.0000612342],"domain_scores_gemma":[0.999474,0.0001364314,0.00006275159,0.0001168821,0.0001687607,0.00004118036],"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":[0.0006090393,0.000195894,0.002466215,0.000157418,0.0001660767,0.0001921089,0.0001920414,0.1037399,0.1293807,0.02312683,0.00235851,0.7374154],"study_design_scores_gemma":[0.00001941859,0.00009034431,0.0007862751,0.000006735691,0.00005668719,0.0003501523,0.00002304836,0.9716224,0.02070477,0.004430701,0.001888003,0.00002143374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00599833,0.0001262624,0.9930508,0.00002829892,0.00002259035,0.0000108464,0.00001180242,0.0001786985,0.0005723175],"genre_scores_gemma":[0.4650456,0.0005897123,0.5294532,0.0001215028,0.00007779028,0.00006494881,0.0001598971,0.0001353693,0.004352166],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001944965,"threshold_uncertainty_score":0.004227877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0185670570212702,"score_gpt":0.2842019318875652,"score_spread":0.2656348748662949,"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."}}