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The One-Stage Detector Algorithm Based on Background Prediction and Group Normalization for Vehicle Detection
Vehicle detection in intelligent transportation systems (ITS) is a very important and challenging task in traffic monitoring. The difficulty of this task is to accurately locate and classify relatively small vehicles in complex scenes. To solve these problems, this paper proposes a modified one-stage detector based on background prediction and group normalization to realize real-time and accurate detection of traffic vehicles. The one-stage detector firstly adds a module to adjust the width anddoi:10.3390/app10175883 fatcat:z2dphyhtere4hlbisc2n25odqm