… 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 …

… 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 …

… 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 …

… 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. …

… pedestrian behavior in real time is required. This paper presents an innovative and robust
deep learning system as well as a unique pedestrian … Next, a deep sort [14] model was used …

… frames is to detect or connect target objects. In this paper, we present analysis of tracking-by-detection
approach which include detection by YOLO and tracking by SORT algorithm. This …

… -SORT algorithm adopted in this paper improves the defects of “SORT-like” algorithms such
as SORT and … YOLOv7 is an object detection algorithm that uses a deep neural network to …