{"id":"W2156306885","doi":"10.1109/dcv.2001.929945","title":"Object motion detection based on perceptual edge tracking","year":2002,"lang":"en","type":"article","venue":"","topic":"Image and Object Detection Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Computer vision; Artificial intelligence; Computer science; Enhanced Data Rates for GSM Evolution; Edge detection; Tracking (education); Perception; Object (grammar); Object detection; Video tracking; TRACE (psycholinguistics); Motion (physics); Image (mathematics); Computer graphics (images); Image processing; Pattern recognition (psychology)","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":[0.0003811295,0.0004092915,0.0004789876,0.001195421,0.0002611502,0.0005927331,0.0006375734,0.0004614233,0.001331001],"category_scores_gemma":[0.001392653,0.0002735651,0.0002909032,0.0006082237,0.000401954,0.00101968,0.0004023684,0.0003704784,0.0007197998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001721265,"about_ca_system_score_gemma":0.0002743566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008967813,"about_ca_topic_score_gemma":0.001105748,"domain_scores_codex":[0.9996704,0.00003811056,0.00001382224,0.00008129547,0.0001646713,0.0000317262],"domain_scores_gemma":[0.9995514,0.0001505992,0.0000494909,0.0000575823,0.0001600582,0.00003094688],"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":[0.0003547841,0.0001133045,0.001776759,0.0002224719,0.00004849791,0.0001983142,0.0001215181,0.01340197,0.3000746,0.005591107,0.001316461,0.6767802],"study_design_scores_gemma":[0.0000916011,0.0007388837,0.01066478,0.00007016987,0.0001256051,0.001226728,0.00007089458,0.6559461,0.3037614,0.006658571,0.02052067,0.0001244203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02265198,0.000306178,0.9745515,0.00002873902,0.00005248773,0.00004996731,0.00003142908,0.0007400235,0.001587663],"genre_scores_gemma":[0.2401535,0.0005973532,0.7565023,0.00005386868,0.00005063961,0.00005457784,0.0001606885,0.000106544,0.002320432],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001331001,"threshold_uncertainty_score":0.004452646,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02257359621058266,"score_gpt":0.2299099278606228,"score_spread":0.2073363316500402,"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."}}