… 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…

… 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 …

… [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-…

… improved YOLOv3 network detecting algorithm and a Deep Sort tracking algorithm. The Deep
Sort original model was originally used in the field of pedestrian detection. The parameters …

… The Deep-sort algorithm for the tracker used in this paper is optimized based on the Sort
tracking algorithm. Deep features are added by adding the rules for matching target frames …

… in pedestrian detection algorithms. The aim of this paper is to use modified single-shot detector
(SSD) approach in pedestrian detection and then improve it by a novel deep architecture. …

… detection methods and highlighting the advancements in deep learning-based pedestrian
detection… DeepSORT utilizes a deep learning-based object detection model, such as YOLO or …

… detection algorithm, SORT tracking algorithm, and inverse perspective transformation. Feng
[6] used improved YOLOv5 and DeepSORT for pedestrian detection … Deep learning based …

… A deep learning model for vehicle detection, tracking, and … Yolov7 single shot detector and
Deep- Sort of Multi Object … automobile detection algorithms and suggests proposed detection …

… and the SORT with Deep cosine metric. Following the video inputs, YOLO first performs
pedestrian detection; the detected pedestrians then are tracked by Deep SORT for counting. …