过去一年中添加的文章,按日期排序

Multi-object tracking with dynamic weighted appearance evolution and local matching

X Shi, J Liu, L Li, D Zhang - International Conference on Image …, 2024 - spiedigitallibrary.org
11 天前 - This study addresses the multi-object tracking challenges in long-term video
surveillance scenarios. In such scenarios, pedestrian targets often face extended temporal spans, …

A novel approach for reliable pedestrian trajectory collection with behavior-based trajectory reconstruction for urban surveillance systems

W No, B Noh, Y Kim - Advances in Engineering Software, 2024 - Elsevier
24 天前 - … Second, since each process of Deep SORT is sequentially combined such as SORT
and … Therefore, pedestrians are detected and tracked from video data using Deep SORT in …

Real-time automated deep learning based detection and tracking near highway-rail grade crossing for vulnerable road users safety

X Yang, JQ Li, YJ Zhan, W Yu - Intelligent Transportation Infrastructure - academic.oup.com
58 天前 - … (YOLO) deep learning architecture and the Deep Simple Online and Real-time
Tracking (Deep SORT) algorithm for real-time VRU trespassing violation detection. Different …

OPTIMIZING PEDESTRIAN TRACKING FOR ROBUST PERCEPTION WITH YOLOv8 AND DEEPSORT

G Zidani, D DJARAH, A BENMAKHLOUF… - Applied Computer …, 2024 - ph.pollub.pl
86 天前 - detector (including YOLOv5s/l/m/x and YOLOv8) and multi-object tracking (SORT and
Deep SORT… in MOT20, the integrated pedestrian detection and tracking framework proved …

SMART PARKING MONITORING AND SURVEILLANCE

A Bharadwaj, AN Ojha, A Shiva - INTERNATIONAL CONFERENCE ON … - books.google.com
170 天前 - detection with high accuracy are used. Many methods such as Fast RCNN, SVM,
SORT … The detection part was built on Faster RCNN and top of deep learning algorithm Caffe, …

Predicting Pedestrian Movement in Unsignalized Crossings: A Contextual Cue-Based Approach

K Muduli, V Sahu, I Ghosh - 2024 16th International …, 2024 - ieeexplore.ieee.org
173 天前 - … In this study, the Deep SORT algorithm [20][21] was employed for object tracking, …
Deep SORT algorithm utilizes a combination of deep neural networks for both object detection

객체탐지를이용한캠퍼스내교통안전시스템개발

이나영, 이건, 이민섭, 홍윤정, 양인범… - 한국컴퓨터정보학회 …, 2024 - dbpia.co.kr
176 天前 - … The system involves real-time detection of vehicle speeds in designated areas and
the … and pedestrians at crosswalks. Utilizing the YOLOv5s model and Deep SORT method, …

Navigation System for Personal Mobility Vehicles Following a Cluster of Pedestrians in a Corridor Using Median of Candidate Vectors Observer

N Matsunaga, I Yamamoto, H Okajima - Journal of Robotics and …, 2023 - jstage.jst.go.jp
188 天前 - … The pedestrian detection block in Fig. 2, enclosed by a dotted line, is described in
Deep Sort [22] to track pedestrians. The Deep Sort is an algorithm that tracks the pedestrians

Pedestrian trajectory prediction method based on social-LSTM model for vehicle collision

Y HAN, X Lin, D Pan, Y Li, L Su… - Transportation …, 2023 - academic.oup.com
188 天前 - … trajectories could be obtained using target detection (YOLOv5) and 433 multi-objective
tracking algorithms (Deep Sort), and the accuracy of pedestrian detection was higher …

DS-YOLOv5: A real-time detection and recognition model for helmet wearing

P BAI, R WANG, Q LIU, C HAN, H DU… - Chinese Journal of …, 2023 - cje.ustb.edu.cn
206 天前 - 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… 改进的 Deep SORT 算法流程如图 1 所示. …