Video-based multi-target pedestrian detection and tracking method

The invention discloses a video-based multi-target pedestrian detection and tracking method. A YOLO3 target detection algorithm with good speed and accuracy is utilized, video images under different scenes are constructed, and a detection model is trained, so that the influence of illumination change and visual angle change is overcome, and efficient detection of multi-target pedestrians is ensured; the multi-target pedestrian is effectively tracked based on the Kalman filtering algorithm and the Hungary algorithm effectively tracks, the problem that repeated target detection often exists in multi-target detection is avoided, thereby realizing the multi-target pedestrian tracking method taking the Deep-SORT algorithm as the core. The method has the characteristics of efficient multi-targetpedestrian detection and efficient multi-target pedestrian tracking. 本发明公开了一种基于视频的多目标行人检测与跟踪的方法，利用在速度和准确率方面表现较好的YOLO3目标检测算法，通过构建不同场景下的视频图像并训练检测模型，以克服光照变化和视角变化的影响保证高效的检测多目标行人；采用基于卡尔曼滤波算法和匈牙利算法有效的追踪多目标行人，且避免了多目标检测常有目标重复检测的问题，从