In this paper, we address the challenging problem of detecting pedestrians, which are
heavily occluded and/or far from cameras. Unlike most existing pedestrian detection methods …

… 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. …

… 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 …

… Second, since each process of Deep SORT is sequentially combined such as SORT and CNN
… Therefore, pedestrians are detected and tracked from video data using Deep SORT in this …

… 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 …

… When the deep network is employed in the task of pedestrian detection, a host of measures
… The pipeline mentioned above regards the task of pedestrian detection as a sort of …

… 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 …

… the measurement algorithm of the Sort algorithm. In the case … .6, and the deep learning
platform uses the GTf deep learning … of pedestrian detection, pedestrian detection accuracy, and …

… 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. …