首页|Crowdedness estimation approach based on stereovision for bus passengers
Crowdedness estimation approach based on stereovision for bus passengers
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An estimation approach is proposed in this paper based on the binocular stereovision to collect the degree of crowdedness in public transports. The proposed method combines the disparity with frame differences to extract the fore-ground object. An adaptive window normalized cross correlation (NCC) matching and interpolated method is applied to get the sub-pixel image disparity value. Then, the foreground object is projected to the horizontal plane to eliminate the influence of the occlusion and perspective effect. Finally the degree of crowdedness is calculated from the area and the perimeter of the foreground objects. Experimental results show that the proposed method can obtain good estimation results in the simulated scenes in the laboratory and on parking or moving buses. This approach is effective to illumination changes, shadows and occlusion of passengers.
passengerdegree of crowdednessbinocular stereovisiondisparityforeground object detection
ZHU Qiu-yu、JIANG Yi-ping、DENG Wei-jun、TANG Li
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School of Communication and Information Engineering,Shanghai University,Shanghai 200072,P.R.China
Shanghai Transportation Investment Information Technology Company Limited,Shanghai 200433,P.R.China
Development Foundation of Shanghai Municipal CShanghai Leading Acdemic Discipline Project
NETL
NSTL
万方数据
