Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (24): 227-233.DOI: 10.3778/j.issn.1002-8331.2008-0249

• Graphics and Image Processing • Previous Articles     Next Articles

Vehicle Detection Algorithm Combining Time Domain and Watershed Information

MA Qinglu, TANG Xiaoyao   

  1. School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing 400074, China
  • Online:2021-12-15 Published:2021-12-13



  1. 重庆交通大学 交通运输学院,重庆 400074


In order to overcome the low accuracy and high omission rate caused by background noise and shadow of moving vehicles in real-time video image vehicle target detection, a watershed vehicle detection algorithm based on space-time fusion and internal and external marking is proposed. The time domain mask image is obtained in combination with time-domain motion change information obtained by the adjacent video three-frame difference method with the edge image obtained by Canny operator. The moving region and its surrounding region are segmented by using the watershed spatial algorithm based on quadratic reconstruction, inner and outer region marking and gradient correction, which solves the over segmentation phenomenon of general watershed algorithm. The results are projected to improve the detection accuracy of the vehicle in motion. Experimental results show that, the proposed algorithm detecting effect is still better, which reduces vehicle missing rate to 4.90%, and the algorithm accuracy, robustness and adaptability are better under the influence of background noise and shadow of the vehicle.

Key words: intelligent transportation, vehicle detection, Canny edge detection, internal and external area marking, watershed transformation, fusion of space and time



关键词: 智能交通, 车辆检测, Canny边缘检测, 内外区域标记, 分水岭变换, 融合时空