By　vehicle　presence　detection　and　movement　analysis　on　the　monitored　region　based　on　video　processing　technology,　a　real-time　robust　detection　method　of　vehicle　queue　and　dissipation　is　proposed　in　this　paper.　With　a　duplex　flexible　window　fused　with　the　Haar　feature　based　AdaBoost　cascade　classifiers,　the　method　can　efficiently　track　the　position　changes　of　the　tail　and　head　of　a　vehicle　queue　at　intersection　during　evening　rush　hour,　which　accurately　describes　the　formation　and　dissipation　of　the　queue.　Then,　the　queue　length　and　stop　delay　of　vehicles　can　be　calculated.　Experiments　showed　that　our　method　can　real-time　track　the　formation　and　dissipation　of　the　queue　during　the　evening　rush　hour　when　the　illumination　varies　greatly　from　light　to　dark,　and　that　the　accuracy　rate　is　about　91.54%.　Therefore,　this　method　can　be　further　applied　to　traffic　congestion　monitoring　and　traffic　signal　controlling.　©　2011　IEEE.