In　this　paper,　a　marker　and　its　real-time　tracking　method　are　proposed.　Different　from　existing　technologies　that　recognize　the　markers　by　spatial　event　features,　which　lead　to　many　practical　problems,　we　discover　the　possibility　of　using　temporal　features.　Strobe　LEDs　(light　emitting　diode)　are　used　as　markers　to　produce　periodically　flipping　events,　and　a　fast　clustering-based　algorithm　is　designed　to　track　and　recognize　these　markers　simultaneously.　Experiments　demonstrate　that　our　methods　have　superior　speed　and　accuracy　compared　to　state-of-the-arts.　The　markers　can　be　stably　tracked　in　many　challenging　situations,　thus　can　be　used　in　various　visual　tracking　applications.　The　proposed　method　introduces　a　new　marker　and　its　corresponding　recognition　algorithm　for　event　camera-based　targets　tracking,　offering　a　reliable　solution　for　various　applications.