According to vehicle characteristics can not be extracted at night

a vehicle classification method based on improved fuzzy constraint satisfaction approach is proposed. Through analysis and pretreatment vehicle’s lumps from monitor video at night

the membership function’s parameters of fuzzy constraint algorithm were adjusted; thereby vehicle’s types were recognized from the constructed motion trajectory image. The experimental result of the system shows that the accuracy of vehicle classfication was improved at night

when we involve vehicle lamp information.