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A multi-vehicle detection method was proposed, which consists of YOLO 9000 under Darknet framework. The YOLO9000 structure was improved according to the the training results and vehicle target characteristics, the algorithm parameters are adjusted. Finally, The YOLO9000-md network model was obtain, which is found more suitable for road vehicles detection. In order to verify the validity and completeness of this method, the model was verified and contrasted. At the same time, the vehicles under video was tested. The experimental results show that, the accuracy rate reaches 96.15% based on the YOLO9000-md model, which has certain robustness and versatility. It provides a reliable theoretical basis for more intelligent and automated data analysis based on video in the future.