… method is introduced, including the baseline Deep SORT algorithm and our low confidence
track filtering extension. The proposed re-identification dataset are described in Section 3. In …

… motion and vehicle occlusion in crowded scenarios. This paper proposes a vehicle tracking
algorithm as an improvement on DeepSORT (Simple Online and Realtime Tracking with a …

… application of the DeepSORT algorithm in vehicle tracking, using vehicle flow videos from
… of the YOLOv5s_DSC vehicle detection algorithm. The YOLOv5s + DeepSORT algorithm is …

… , the Deep Sort algorithm approach was adopted in this study for multi-vehicle tracking. …
with a deep sort algorithm for the detection and tracking of objects directly on CCTV footage of …

… Deep SORT algorithm is applied which is used for tracking the object. The final image is
obtained and it can be verified if the predictions are correct and the process is continued with …

… Deep SORT algorithm tracks the vehicles after identifying the … tracking the vehicles and
counting their vehicles. The same … to further explore vehicle detection and vehicle tracking in our …

… algorithm compared to the previous model in vehicle detection system. This vehicle detection
also uses DeepSORT algorithm to help counting the number of vehicles pass in the video …

… input to YOLO-V4 for vehicle detection. The detected vehicle frame will be further analysed
by DeepSort algorithm to … A vehicle tracking algorithm based on the framework suggested in …

… In this paper, the deep sort multi-target tracking algorithm is applied to the traffic scene, and
… , vehicles and cyclists. Then, deep sort is used to input the target frame, and the tracking box …

… A deep learning model for vehicle detection, tracking, and … detector and Deep- Sort of Multi
Object Tracking algorithms. The … Table 3 shows that YOLOv7-DeepSORT vehicle tracking and …