… pedestrian multi-target tracking in complex scenes. Firstly, we choose the more efficient
YOLOv5 as the basic detection … extraction capability and enhance detection accuracy. Secondly, …

… deep SORT with AFSID on pedestrian detection in terms of 1) the recall rate of detecting
pedestrians… of bi-directional deep SORT and that of deep SORT were compared and for the latter…

… In recent years, the research and development of deep … to meet the real-time pedestrian
detection and counting and reduce … and is used as the basic model for pedestrian flow detection. …

… : 41 pedestrian detection and pedestrian tracking. Deep learning methods used for target
detection 42 … The SORT and DeepSORT 61 algorithms have demonstrated their outstanding …

… Before the deep algorithm,the field of target tracking mainly … The cosine distance is used
to sort, and the cost matrix are … For the dynamic pedestrian detection problem studied in this …

… deep learning-based tracking by detection framework is proposed, which includes detection
by YOLOv3 and tracking by Deep SORT … then, it gives good detection results. In order to …

… for multiple pedestrians. This research employed YOLO V3 with a Deep Sort architecture. In
… works on the basis of deep learning technique for pedestrian detection as well as tracking. …

… our evaluation study of Deep-SORT for multi-pedestrian tracking by detection, utilizing novel
… tracking and detection performance. Our updated version of Deep-SORT was assessed on …

… This paper proposes a system that uses YOLOv3 for object detection and the Deep SORT
for multiple objects tracking algorithms. From the results over real-world videos collected in …

… by the pedestrian detector, and then the detected result is … the DeepSORT algorithm, and
proposes a pedestrian tracking … of high false detection rate caused by similar pedestrian head …