Overview
Multi-object tracking (MOT) inotevera zvinhu zvakawanda - vanofamba netsoka, mota, vatambi - mhiri kwemafuremu evhidhiyo, ichipa mumwe nemumwe kuzivikanwa kunoenderana nekufamba kwenguva. Ndiwo musana wekuzvimiririra kutyaira maonero, analytics yemitambo, uye smart-guta traffic yekutarisa.
Multi-Object Tracking ndeyekombuta-yekuona workflows inodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira.
Deep Dive
Mhinduro dzekutsvaga zvinhu zvakawanda kwete chete 'zviri mufuremu yega yega' asi 'kuti ndeipi inowanikwa muforemu yechipiri chinhu chakafanana nechiri mufuremu yekutanga.' Iyo yakanyanya paradigm ndeyekutevera-ne-kuona: chinhu chino detector (seYOLO) chinowana mabhokisi anosungirirwa furemu yega yega, zvino tracker inoabatanidza nekufamba kwenguva mumatrajectories. SORT pairi sefa yeKalman, iyo inofanotaura kuti chinhu chimwe nechimwe chichafamba kupi, neiyo Hungarian algorithm yeakakwana bhokisi rekufananidza. DeepSORT inowedzera chitarisiko chakadzidzwa chinomisikidza kuitira kuti zvinhu zvigone kuzivikanwa zvakare mushure mekuvharwa. ByteTrack yakagadziridza huroyi nekubatanidza zvakare kusavimbika kwakaderera pane kuirasa. Matambudziko epakati ndeekuvharika, zvitupa zvekuzivikanwa (kuchinjanisa maID kana zvinhu zvayambuka), zviono zvakazara, uye zvinhu zvinopinda kana kusiya furemu.
Technical Insight
Tracker inochengetedza 'track' yechinhu chimwe nechimwe chine modhi inofamba. Iyo Kalman sefa inofanotaura imwe neimwe nzvimbo inotevera ye track; kuwanikwa kutsva kunofananidzwa nekufungidzira kuburikidza nekombuta mutengo (kupindirana/IoU pamwe nekufanana kwechimiro) uye kugadzirisa basa neHungarian algorithm. Chitarisiko chekumisikidza - compact feature vectors kubva kune-re-identification network - rega sisitimu idzore chiziviso chaicho mushure mekunge chinhu chavigwa muchidimbu, kudzivirira maID switch ayo akachena mafambiro emhando anotambura munzvimbo dzakazara vanhu.
Mastering Multi-Object Tracking
Multi-object tracking (MOT) inotevera zvinhu zvakawanda - vanofamba netsoka, mota, vatambi - mhiri kwemafuremu evhidhiyo, ichipa mumwe nemumwe kuzivikanwa kunoenderana nekufamba kwenguva. Ndiwo musana wekuzvimiririra kutyaira maonero, analytics yemitambo, uye smart-guta traffic yekutarisa. Multi-Object Tracking ndeyekombuta-yekuona workflows inodudzira kana kugadzira midhiya yekuona yekuongorora, mashandiro, uye kugadzira. Kuti uvake kunzwisisa kwakadzama, bata Multi-Object Tracking semuenzaniso wekushandisa, kwete chinhu chimwe chete: tsanangura zvinodiwa, kujekesa fungidziro, uye patsanura izvo zvinogona kuitwa nehurongwa hwakavimbika kubva kune zvichiri kuda kutonga kwenyanzvi.
Mukuita, zvikwata zvakasimba zvinoshandisa Multi-Object Tracking chiyero chechokwadi nemashandiro anoita semhando yedata, kusiyana kwemwenje, uye kuenderana kwemazita. Ivo vanonyora zvakajeka maitiro ebudiriro, bvunzo vachipokana ne data rechokwadi uye mafambiro ebasa, uye iterate zvichibva pane zvakacherechedzwa maitiro ekutadza kwete kuhwina-nguva imwe chete yebhenji. Apa ndipo apo kunzwisisa kwe theoretical kunoshanduka kuve kugona kwakasimba pane chigadzirwa, mutemo, uye mashandiro.
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero. Panguva imwecheteyo, kodzero dzeMufananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana hunhu husina kujeka. Nzira yakatsiga ndeyekubatanidza kukurumidza kuyedza nekutonga: mhanyisa vatyairi vendege, tora humbowo, buritsa matanda esarudzo, uye urambe uchivandudza chengetedzo semaitiro emuenzaniso, zvinotarisirwa nemushandisi, uye zvinodikanwa zvekutonga.
Strategic Impact
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero.
Visual AI inogona kuita otomatiki yekuongorora, yekuona, uye yekumaka mabasa pachiyero. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma.
Zvikwata zvekugadzira zvinogona prototype pfungwa nekukurumidza nekudzokororwa kwemaoko mashoma. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa.
Mashandisirwo anogona kushandisa masaini emifananidzo nemavhidhiyo ayo aimbove akaoma kugadzirisa. Mukutumirwa kwemhando yepamusoro, izvi zvinoshandurirwa kuita mitemo inoyerwa yekushanda, miganhu yevaridzi, uye tsika dzekudzokorora dzinodzokororwa kuitira kuti zvikwata zvikwire kuvimba pane kukwidza kusajeka.
Real-World Implementation
Autonomous mota yekuona inoteedzera mota dzakatenderedza, vanochovha mabhasikoro, uye vanofamba netsoka kufanotaura makwara avo uye kudzivirira kubonderana.
Sports analytics inotevera mutambi wese uye bhora kuverengera chinhambwe chakavharwa, maumbirwo, uye manhamba
Smart-muguta traffic masisitimu anoverenga uye anotevera mota kuyera kuyerera, kuona kuzara, uye masaini masaini
Retail uye chengetedzo analytics inoteedzera mafambiro evatengi kuburikidza nechitoro kana vanhu kuburikidza nenzvimbo yekufambisa
Maitiro Ekuita
Multi-Object Tracking mukuita
Autonomous mota maonero anoteedzera mota dzakatenderedza, vanochovha mabhasikoro, uye vanofamba netsoka kufanotaura makwara avo uye kudzivirira kubonderana.
Autonomous mota maonero anoteedzera mota dzakatenderedza, vatyairi, uye vanofamba netsoka kufanotaura nzira dzavo uye kudzivirira kudhumhana Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Multi-Object Tracking mukuita
Sports analytics inotevera mutambi wese uye bhora kuverengera chinhambwe chakavharwa, maumbirwo, uye manhamba.
Ongororo dzemitambo dzinotevera mutambi wese uye bhora kuverengera chinhambwe chakavharwa, mafomati, uye manhamba ezvikwata Zvikwata zvinowanzowana mhedzisiro iri nani pazvinenge zvichitsanangudza mhando kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Multi-Object Tracking mukuita
Smart-muguta traffic masisitimu anoverenga uye anotevera mota kuyera kuyerera, kuona kuzara, uye masaini masaini.
Smart-muguta traffic masisitimu anoverenga uye anotevera mota kuyera kuyerera, kuona kuzara, uye nguva masaini Matimu anowanzo kuwana mhedzisiro iri nani kana achinge atsanangura emhando yepamusoro kumberi, chengetedza nzira yekukwira kwevanhu yemakesi ekumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa uye mutengo wekukanganisa nekufamba kwenguva.
Multi-Object Tracking mukuita
Retail uye chengetedzo analytics inoteedzera mafambiro evatengi kuburikidza nechitoro kana vanhu kuburikidza nenzvimbo yekufambisa.
Retail uye chengetedzo analytics inoteedzera kufamba kwevatengi kuburikidza nechitoro kana vanhu kuburikidza nehabhu yekufambisa Matimu anowanzo kuwana zvirinani kana achinge atsanangura mabindu emhando kumberi, chengetedza nzira yekukwira kwevanhu yemakesi emumucheto, uye kuteedzera zvese zvakawanikwa zvechigadzirwa nemitengo yekukanganisa nekufamba kwenguva.
Njodzi & Guardrails
Kodzero dzemifananidzo uye kubvumirwa kunogona kuve njodzi dzepamutemo kana provenance isina kujeka.
Kuita kwemuenzaniso kunogona kusiyanisa kupenya, huwandu hwevanhu, uye nharaunda.
Manyepo enhema anogona kusacherechedzwa kunze kwekunge zvikumbaridzo zvekuvimba zvikatariswa.
Implementation Roadmap
Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa.
Tsanangura maitiro ekugamuchirwa echokwadi, kurangarira, uye mutengo wekukanganisa. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira.
Edzai nedata rinoenderana nemamiriro chaiwo ekugadzira. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura.
Wedzera ongororo yemunhu kune yakaderera-kusavimbika kana yakakwirira-inokanganisa kufanotaura. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset.
Tevera modhi kudonha uye simbisa mushure mekuchinja kwekamera kana dataset. Bata nhanho yega yega segedhi rehumbowo: kana maitiro asina kusangana, imbomira kuburitsa, vhara gaka, uye wobva wawedzera kushandiswa.