{"id":"W1989925366","doi":"10.1109/syscon.2012.6189534","title":"Intelligent people surveillance with a cooperative camera network","year":2012,"lang":"en","type":"article","venue":"","topic":"Video Surveillance and Tracking Methods","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Homography; Computer science; Computer vision; Artificial intelligence; Object (grammar); Field (mathematics); Ground plane; Object detection; Calibration; Operator (biology); Field of view; Real-time computing; Telecommunications; 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":[0.0005721906,0.0004697996,0.0004243849,0.0005997928,0.0004682073,0.0005706164,0.0007037746,0.0006184988,0.0005591186],"category_scores_gemma":[0.0007538602,0.0002694758,0.0003145993,0.0003971701,0.0003468736,0.001385856,0.001188573,0.0005127141,0.0002106044],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003354851,"about_ca_system_score_gemma":0.0003320026,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003616852,"about_ca_topic_score_gemma":0.002589586,"domain_scores_codex":[0.9992571,0.000219167,0.0000172424,0.0001918113,0.0002300241,0.00008455646],"domain_scores_gemma":[0.9994935,0.0001200405,0.00008009897,0.0000863603,0.0001297709,0.00009028189],"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":[0.001896926,0.0006370721,0.01452125,0.0002189401,0.0002357657,0.001496743,0.001649389,0.1881598,0.177765,0.01567259,0.006004367,0.5917421],"study_design_scores_gemma":[0.0001224474,0.0006341499,0.003534549,0.00002361584,0.00008161654,0.0004971658,0.0002371543,0.9623387,0.02078278,0.003571646,0.008131732,0.00004456542],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2216298,0.0006206346,0.7709834,0.0002015265,0.00006369866,0.00008661406,0.00003825375,0.001035147,0.005340865],"genre_scores_gemma":[0.9025275,0.0002142849,0.09517187,0.00005941116,0.00004975789,0.00007174347,0.00006261146,0.00001898846,0.001823939],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003616852,"threshold_uncertainty_score":0.007191598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02225226897674356,"score_gpt":0.2777253702340063,"score_spread":0.2554731012572627,"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."}}