Ọtụtụ ihe nsochi
Multi-object nsuso (MOT) na-eso ọtụtụ ihe - ndị na-agafe agafe, ụgbọ ala, ndị egwuregwu - gafee okpokolo agba nke vidiyo, na-enye onye ọ bụla njirimara na-agbanwe agbanwe ka oge na-aga.
Nchịkọta
It's the backbone of autonomous driving perception, sports analytics, and smart-city traffic monitoring.
Ime miri emi
Nchọgharị ihe ọtụtụ ihe na-aza ọ bụghị naanị 'ihe dị na etiti ọ bụla' mana 'nke nchọpụta dị na etiti abụọ bụ otu ihe dị na etiti otu.' Usoro kachasị bụ nchọta-site-nchọpụta: onye na-achọpụta ihe (dị ka YOLO) na-achọta igbe ejikọtara nke ọ bụla, mgbe ahụ, onye na-egwu egwu na-ejikọta ha n'ogologo oge n'ime trajectories. SORT na-ejikọta ihe nzacha Kalman, nke na-ebu amụma ebe ihe ọ bụla ga-aga, yana algọridim nke Hungary maka ndakọrịta igbe kacha mma. DeepSORT na-agbakwunye ọdịdị amụtara na-etinye ka e wee mata ihe ọzọ ma emechie ya. ByteTrack kwalitere izi ezi site na ijikọ nchọpụta enweghị ntụkwasị obi kama ịtụfu ha. Ihe isi ike dị n'etiti bụ oghere, mgbanaka njirimara (NJ na-agbanwe mgbe ihe na-agafe), ihe nkiri mmadụ juru, na ihe na-abanye ma ọ bụ na-apụ na etiti.
Nghọta nka nka
Onye na-egwu egwu na-edobe 'egwu' maka ihe ọ bụla nwere ụdị ngagharị. Ihe nzacha Kalman na-ebu amụma ọnọdụ egwu ọ bụla ga-esote; achọpụtara ọhụrụ dabara na amụma site n'ịgbakọ ọnụ ahịa (ntụpọ/IoU gbakwunyere myirịta ọdịdị) yana dozie ọrụ ahụ na algọridim Hungarian. Mgbakwunye ọdịdị - kọmpat atụmatụ vectors sitere na netwọk njirimara regharịa - ka usoro ahụ nwetaghachi njirimara ziri ezi mgbe ihe zoro ezo na nkenke, na-egbochi ngbanwe ID nke ụdị ngagharị dị ọcha na-ata ahụhụ n'ọhụụ juru.
Mmetụta atụmatụ
Ọsọ na ọnụ ọgụgụ
Visual AI nwere ike megharịa nyocha, nchọpụta na mkpado ọrụ n'ọtụtụ.
Mee nhọrọ
Otu ndị na-emepụta ihe nwere ike imepụta echiche ngwa ngwa site na ngbanwe akwụkwọ ntuziaka ole na ole.
Team na usoro ọrụ
Ọrụ nwere ike iji onyonyo na akara vidiyo siri ike ịhazi.
Ọdịnihu nke nyocha ọtụtụ ihe
Nsochi na-aga n'ihu n'ụdị ngbanwe nke ngwụcha ruo na ngwụcha (dị ka TrackFormer na MOTR) na-ejikọta ọnụ na-achọpụta ma na-ejikọta ihe dị n'otu netwọkụ, na-ewepụ ogbo dabara adaba ejiri aka na-akụkụ. Na-atụ anya nlebanya igwefoto dị iche iche na 3D siri ike maka ụgbọ ala kwụụrụ onwe ya na nnukwu ebe egwuregwu, gbakwunyere nsochi nke aka ike, ihe mepere emepe karịa ụdị edoziri. Nchọpụta ogologo oge ka mma na ike siri ike na mgbachi dị arọ na igwe mmadụ na-anọgide na-abụ ihe mgbaru ọsọ na-arụsi ọrụ ike, na-enyewanye aka site na ụdị ntọala na-enye atụmatụ nhụsianya bara ụba.
Mmejuputa n'ezie n'ụwa
Echiche ụgbọ ala kwụụrụ onwe ya nke na-eso ụgbọ ala, ndị na-agba ịnyịnya, na ndị na-agafe agafe gburugburu ka ha buru amụma ụzọ ha ma zere esemokwu.
Ntụle egwuregwu na-eso onye ọkpụkpọ ọ bụla na bọọlụ iji gbakọọ anya kpuchiri ekpuchi, nhazi, na ọnụ ọgụgụ ihe onwunwe
Sistemụ okporo ụzọ smart obodo na-agụ ma na-eso ụgbọ ala iji tụọ ọsọ, chọpụta mkpọkọ na akara oge
Nyocha azụmaahịa na nchekwa na-esochi mmegharị nke ndị na-azụ ahịa site na ụlọ ahịa ma ọ bụ ndị mmadụ site na ọdụ ụgbọ njem
Ihe ize ndụ & okporo ụzọ nche
Ikike onyonyo na nkwenye nwere ike bụrụ ihe egwu dị n'iwu ma ọ bụrụ na edoghị anya.
Ọrụ nlereanya nwere ike ịdịgasị iche n'ofe ọkụ, igwe mmadụ, na gburugburu.
Enwere ike ghara ịhụ ihe dị mma ma ọ bụrụ na enyochaghị oke ntụkwasị obi.
Map mmejuputa
Kọwaa ụkpụrụ nnabata maka nkenke, icheta, na ụgwọ njehie.
Nwalee na data dabara na ọnọdụ mmepụta n'ezie.
Tinye nyocha mmadụ maka obere obi ike ma ọ bụ amụma mmetụta dị elu.
Sochie ihe nlere anya wee megharịa ka emechara mgbanwe igwefoto ma ọ bụ dataset.
Nọgide na-eme nchọpụta
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Ntuziaka na-esote
Nchọpụta ihe
Ajụjụ a na-ajụkarị
What is Multi-Object Tracking?
Multi-object nsuso (MOT) na-eso ọtụtụ ihe - ndị na-agafe agafe, ụgbọ ala, ndị egwuregwu - gafee okpokolo agba nke vidiyo, na-enye onye ọ bụla njirimara na-agbanwe agbanwe ka oge na-aga. Ọ bụ ọkpụkpụ azụ nke nghọta ịnya ụgbọ ala kwụụrụ onwe ya, nyocha egwuregwu, yana nleba anya okporo ụzọ obodo.
Gịnị bụ isi ebumnuche nke nlebanya ọtụtụ ihe?
MOT na-ekenye ma na-edobe NJ na-agbanwe agbanwe maka ihe ọ bụla ka ọ na-agagharị na vidiyo, na-ejikọta nchọpụta n'ime oge n'ime trajectories.
Kedu ihe usoro 'nyocha-site-nchọpụta' gụnyere?
Nchọpụta-site-nchọpụta na-eme ihe nchọpụta ihe na etiti ọ bụla wee jikọta igbe ndị na-esi na ya gafee oge n'ime egwu na-aga n'ihu.
Kedu ọrụ nzacha Kalman na-arụ na ndị na-egwu egwu dịka SORT?
Ihe nzacha Kalman na-egosipụta mmegharị ihe ọ bụla wee buru amụma ọnọdụ ya na-esote, nke dabara na nchọpụta ọhụrụ.
Kedu ihe DeepSORT gbakwunyere n'elu SORT?
DeepSORT webatara vectors n'ọdịdị ka enwere ike matapụta ihe ọzọ mgbe ezoro ya obere oge, na-ebelata mgbanwe njirimara.
Kedu ihe bụ 'mgbanwe njirimara' na nsochi ọtụtụ ihe?
Mgbanwe njirimara na-eme mgbe onye na-ahụ maka ihe na-eme ihe na-edoghị anya na-ekenye ID n'etiti ihe, na-emekarị mgbe ha na-agafe ma ọ bụ na-agafe na ebe nkiri juru.