This　paper　established　a　high-precision　video　detection　method　based　on　intersection　cameras　to　analyze　the　traffic　conflict　between　vehicles　and　pedestrians.　The　framework　of　the　method　is　divided　into　automatic　video　trajectory　extraction,　conflict　risk　computation,　and　risk　field　analysis.　A　signal　intersection　at　Lhasa,　Tibet,　was　used　to　validate　the　method　and　extract　conflict　data　for　vehicles　and　pedestrians.　A　total　of　1,213　conflicts　data　from　24　h　were　collected,　and　the　conflict　characteristics　of　pedestrians　and　vehicles　at　crosswalks　in　days　and　cycles　were　analyzed,　respectively.　Then　how　the　risk　field　guides　the　work　of　the　ADAS　system　was　explained　with　a　case　study.　The　results　show　that　the　highest　number　of　pedestrian-vehicle　conflicts　on　the　east　side　of　crosswalks　occurred　in　three　time　periods,　which　coincides　with　the　peak　periods　for　pedestrians.　Risk　field　guides　ADAS　system　effectively　avoids　higher-risk　driving　routes.