… 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 …

… We disregard all other classes and only pass pedestrian detection results to the tracking … ,
we evaluate the Deep Sort tracker plugged in with the various state-of-the-art detectors that are …

… sorting … sort algorithm has shortcomings in processing target tracking tasks under occlusion
scenes. The DeepSort algorithm adopted in this paper was improved on the basis of the sort …

… deep learning to detect pedestrians and combines the DeepSORT method to track pedestrians,
… The algorithm continues to use the framework of the Kalman filter in the SORT algorithm …

… algorithm takes the pedestrians detected by the YOLOv4 algorithm and tracks their movements
from one frame of video to the next. This algorithm is based on a convolutional neural …

… Deep Sort target tracNing based on the YOLOv4 algorithm, which reduces the phenomenon
of missed detection… 3 (b) shows the pedestrian detection results of the YOLOv5 detector, and …

… object detection algorithm is proposed by revamping YOLOv3 and real-time multi-object
tracking is done by employing Deep SORT … The performance of pedestrian detector and tracker …

… an image features filter for each SORT-DI tracker to calculate the loss of image features
between each target provided by the pedestrian detector and each SORT-DI tracker. The image …

… in deep learning, substantially elevating target detection … the performance of pedestrian
detection under occlusion conditions. … boxes and improves the accuracy of pedestrian detection. …

… As for the application, after detecting an abnormal pedestrian or a designated pedestrian,
we use the Deep SORT method to track the pedestrian via the pedestrian’s ID. Experimental …