… DeepSORT incorporates deep features of the detected … a way that does not affect pedestrian
detection and reID features … hand, improved detection with YoloV5 followed by SORT based …

… , 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 …

… 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 …

… We can see a twofold difference in speed between SORT and Deep SORT algorithms
across all three devices we used. It is worth noting that while Raspberry Pi 4 is still farm from …

… 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 …

… 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 …

… an initial estimate of the position of every pedestrian in the scene, with the resulting data
subjected to human verification and correction. Next, the deep sort method [33] provided the …

… inference by combining deep learning models pre-trained on large scale dataset of single
images. Multiple input resolutions are used to perform robust pedestrian detection with a high …

… learning pipeline-based methods such as the Deep SORT which integrates appearance
information along with Simple Online and Realtime Tracking (SORT) technique, adopts a single …

… the Deep SORT algorithm [11] as the tracking algorithm, which is a tracking-by-detection …
feasibility of our multi-camera pedestrian detection system and the superiority of the model. …