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Aiming at trailing fare evasion phenomenon in fare gate system, human recognition technique based on multi-sensor was researched. Multi-infrared sensors were used in the technique to collect passenger traffic information. On the basis of fare gate system analysis, structure layout of multi-infrared sensors was designed. Area analysis and event flag analysis were combined to extract human characteristics for identifying passenger traffic incidents. Fare gate human recognition experimental system was developed. Four common gate traffic incidents were analyzed, Experimental study was carried out. Experimental results show that the experimental system can effectively recognize multi gate traffic incidents and has good real time. The technique has a good prospect in engineering application.