… techniques have been proposed to deal with deep learning-based pedestrian detection, it is
still a promising … Keypoint-based object detection [30]–[32] is a sort of methods that generate …

… and Deep SORT are implemented for trespassing detection and … detection includes two
main tasks: detection and tracking. In this research, the YOLOv4 is for detection and Deep SORT …

… pedestrian tracking algorithm built upon the StrongSORT framework. This methodology
amalgamates the strengths of both SORT and the deep … algorithms for pedestrian detection. The …

… SORT (Simple Online and Realtime Tracking), used deep … apparent features based on
SORT framework, and used Kuhn-… of ID exchange problems in SORT, they used the nearest …

… deep networks in deep SORT, and extract deep facial features from these networks for data
association and matching in the tracking algorithm. The deep SORT … to create deep metric …

… population detection, a high density pedestrian detection algorithm (YOLOv4-HDPD) is
proposed based on deep … 8 is to sort the feature network structure according to the key target …

… , so that a list of potential matches, sorted by similarity, is generated. In this paper, we …
tracking and re-identification algorithm based on deep learning networks. It combines the …

… It is shown that the matching cascade algorithm greatly benefits DeepSORT. However, with
the … Citypersons: A diverse dataset for pedestrian detection. In: Proceedings of the IEEE …

… Next, we apply a deep learning-based tracking approach, namely Deep SORT, to
generate person tracks based on the detections. For the re-identification stage, we employ a …

… Then, two jointly learnt branches are designed respectively for pedestrian detection and …
In our study, the detection branch of FairMOT is adopted to detect pedestrians from videos. For …