… 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 …

… CNN-based pedestrian detector which improves the detection performance of small size …
source tracking methods, SORT tracker, Deep-SORT tracker and IOU tracker by replacing theirs …

… 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…

… 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 …

… 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 …

… We may notice that in all the above methods, a detection … However, the stateof-the-art detection
methods have not yet … in Deep SORT, which checks the average detection confidence of …

… [5] proposed a SORT algorithm, which brought deep learning … on deep learning to detect
pedestrians and get the pedestrian’… the probability of successful pedestrian detection and track-…

… target detection model YOLO v5 as the detector, combined with Deep SORT's pedestrian …
(1) The pedestrian detection dataset selected in this experiment is the PASCAL VOC dataset…

… a pedestrian recognition GCPRN, to overcome the problem of insufficient representation of
pedestrian appearance features in deep sort … than Deep Sort algorithm on MOTP and MOTA. …

… The algorithm is programmed to only detect pedestrians. These detected pedestrians are
then fed to the DeepSORT (Simple Online and Realtime Tracking) algorithm. Deep SORT is …