Zobrazeno 1 - 10
of 783
pro vyhledávání: '"Pedestrian tracking"'
Autor:
Xiaoyan Zhang, Miao Wang
Publikováno v:
IEEE Access, Vol 12, Pp 149662-149675 (2024)
Real-time detection and tracking of pedestrian targets is a critical aspect of autonomous driving. However, due to complex road conditions, bad weather and other factors, traditional image detection algorithms are difficult to accurately detect pedes
Externí odkaz:
https://doaj.org/article/e06d83eb4cb04f4cbb786cbef53c4702
Publikováno v:
IEEE Access, Vol 12, Pp 24831-24842 (2024)
The Efficient Convolution Operators for Tracking (ECO) algorithm has garnered considerable attention in both academic research and practical applications due to its remarkable tracking efficacy, yielding exceptional accuracy and success rates in vari
Externí odkaz:
https://doaj.org/article/1b897212124645448e78b3e3026ab8f1
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 1791-1805 (2024)
A multi-objective pedestrian tracking method based on you only look once-v8 (YOLOv8) and the improved simple online and real time tracking with a deep association metric (DeepSORT) was proposed with the purpose of coping with the issues of local occl
Externí odkaz:
https://doaj.org/article/66f39c83e41c4d2fa506f2c12f71958b
Publikováno v:
IEEE Access, Vol 12, Pp 9162-9176 (2024)
Accurate and robust pedestrian detection is fundamental for indoor robotic systems to navigate safely and seamlessly alongside humans in spatially constrained, unpredictable indoor environments. This paper presents a novel method, IRBGHR-PIXOR, a det
Externí odkaz:
https://doaj.org/article/4ac6c870baa54d42936c26edd278112a
Publikováno v:
Applied Computer Science, Vol 20, Iss 1 (2024)
Multi-object tracking is a crucial aspect of perception in the area of computer vision, widely used in autonomous driving, behavior recognition, and other areas. The complex and dynamic nature of environments, the ever-changing visual features of peo
Externí odkaz:
https://doaj.org/article/b564a6a3d7f34a45aa646ceca6b14ae1
Akademický článek
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Autor:
Gonzalo Garcia, Sergio A. Velastin, Nicolas Lastra, Heilym Ramirez, Sebastian Seriani, Gonzalo Farias
Publikováno v:
Sensors, Vol 24, Iss 11, p 3377 (2024)
Pedestrian monitoring in crowded areas like train stations has an important impact in the overall operation and management of those public spaces. An organized distribution of the different elements located inside a station will contribute not only t
Externí odkaz:
https://doaj.org/article/2bd324aaecb644c2bb213489b7ec5b24
Publikováno v:
AI Open, Vol 4, Iss , Pp 145-153 (2023)
Multi-object tracking (MOT) is one of the most essential and challenging tasks in computer vision (CV). Unlike object detectors, MOT systems nowadays are more complicated and consist of several neural network models. Thus, the balance between the sys
Externí odkaz:
https://doaj.org/article/e3ef89d0c09740e08fa831af1ee56191
Publikováno v:
IEEE Access, Vol 11, Pp 52492-52500 (2023)
Object tracking is a crucial research area within the field of intelligent transportation, providing a vital foundation for anomalous behavior analysis and traffic statistics. Although pedestrian detectors have shown impressive results, leading to th
Externí odkaz:
https://doaj.org/article/f06ab0cd43ea4798ba6eb64fbb947f3c
Autor:
Majdi Sukkar, Madhu Shukla, Dinesh Kumar, Vassilis C. Gerogiannis, Andreas Kanavos, Biswaranjan Acharya
Publikováno v:
Information, Vol 15, Iss 2, p 104 (2024)
Effective collision risk reduction in autonomous vehicles relies on robust and straightforward pedestrian tracking. Challenges posed by occlusion and switching scenarios significantly impede the reliability of pedestrian tracking. In the current stud
Externí odkaz:
https://doaj.org/article/012ca0cca94a431faf39b225055c7755