… pedestrian in the scene. In this work, the Deep SORT [21] approach is used to extract pedestrian
trajectories for its simplicity and effective detection and tracking performance in real-time…

… deep convolutional neural network for pedestrian detection is thoroughly studied in [30]. In
[33], a deep … Let s′ be a vector obtained by sorting the detection scores in s in descending …

… includes pedestrian detection, pedestrian image feature extraction, and distance metrics. …
detection from the library image. The top-1 match rate treats pedestrian search as a sorting and …

Multiple object tracking (MOT) plays a key role in video analysis. On MOT, DeepSORT (Simple
Online and Realtime Tracking with a deep association metric) performs effectively by …

… of detecting pedestrians with the ubiquity of irregularities in scale, rotation, and the illumination
of the natural scene images natively. Pedestrian … of pedestrian detection techniques. We …

… • Recent studies show that deep learning models, such as Deep Sort, are preferred by
researchers over more conventional machine learning models. Common traditional models are …

… Deep SORT 多目标跟踪算法 深度简单在线实时跟踪 (Deep simple online and realtime
tracking,Deep SORT) 的核心思想是利用传 统的卡尔曼滤波… 改进的 Deep SORT 算法流程如图 1 所示…

… Compared to the Deep SORT baseline, our proposed … Based on the prior conditions of
pedestrians, we design the … from 7 datasets for pedestrian detection, including the ETH dataset [33]…

… ID 1 pedestrian is shown. YOLOv5 returns all spatial coordinates of the pedestrians detected
as … Hou, X., Wang, Y., Chau, LP: Vehicle tracking using deep sort with low confidence track …

… methods for both pedestrian detection and re-identification tasks. For pedestrian detection,
we achieve a considerable improvement of 8pp to the baseline FasterRCNN detector on the …