… 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 …

… 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. …

… With the rapid development of deep learning algorithms, people have introduced deep …
Compared with the SORT algorithm, because the DeepSORT algorithm adds appearance …

… 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 …

… in pedestrian flow detection from a top-down perspective, this study integrates the Vision
Transformer architecture and the Deep SORT … pedestrian detection [13]. Yang et al. proposed a …

… 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 …

… sort target tracking algorithm was proposed, the deep sort algorithm added the optimization
of apparent features on the basis of the sort … more mature for vehicle detection on traffic roads…

… 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 …

… detection algorithms practically ineffective. Our contribution is as follows: an implementation
of Deep SORT algorithm combined with a detection … and insights for pedestrian detection. In …

… state-of-the-art pedestrian detection models or algorithms, but … the new detection approaches
into pedestrian traffic domain. … based on deep learning have been proposed, eg, Sort and …