监控视频下的多尺度车辆检测与跟踪

车辆检测与跟踪在自动驾驶系统中起着重要的作用.针对交通监控视频中多尺度车辆目标难以检测和重叠目标容易漏检等问题,提出使用倒残差方法来改进YOLOv3的卷积层提取特征,在YOLOv3网络中增加空间金字塔(SPP)模块,获取车辆多尺度信息,并采用Soft-NMS代替非最大值抑制(NMS),减少车辆重叠导致的预测框丢失.最后...     

Visual attention guided video copy detection based on feature points matching with geometric-constraint measurement

In this paper, to efficiently detect video copies, focus of interests in videos is first localized based on 3D spatiotemporal visual attention modeling. Salient feature points are then detected in visual attention regions. Prior to evaluate similarity between source and target video sequences using feature points, geometric constraint measurement is employed for conducting bi-directional point matching in order to remove noisy feature points and simultaneously maintain robust feature point pairs. Consequently, video matching is transformed to frame-based time-series linear search problem. Our proposed approach achieves promising high detection rate under distinct video copy attacks and thus shows its feasibility in real-world applications.