Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sifan Peng"'
Publikováno v:
IET Computer Vision, Vol 15, Iss 1, Pp 60-72 (2021)
Abstract Crowd counting has become a noteworthy vision task due to the needs of numerous practical applications, but it remains challenging. State‐of‐the‐art methods generally estimate the density map of the crowd image with the high‐level se
Externí odkaz:
https://doaj.org/article/23aae92ae04548769bb97783124f9a2e
Publikováno v:
Frontiers in Energy Research, Vol 9 (2021)
The dropping of absorption sphere from the storage vessel under accident conditions and the transportation of spent fuel elements in the reactor will both lead to the pebble flow discharging process driven by gravity in a hopper silo. Therefore, the
Externí odkaz:
https://doaj.org/article/7ca77007560e45a888d5fe524e016be9
Publikováno v:
Industrial & Engineering Chemistry Research. 61:13972-13983
Publikováno v:
Powder Technology. 396:542-554
Particle movement in pebble bed has important applications in engineering. A fast region homogenization method based on experimental silo discharging process is proposed in this paper. It can obtain the particle information from the particle motion i
Publikováno v:
Neurocomputing. 459:108-121
For the CNN-based density estimation approaches in the field of crowd counting, how to generate a high-quality density map with accurate counting performance and detailed spatial description is still an open question. In this paper, to tackle the afo
Publikováno v:
Pattern Analysis and Applications. 24:1777-1792
Crowd counting plays a significant role in crowd monitoring and management, which suffers from various challenges, especially in crowd-scale variations and background interference issues. Therefore, we propose a method named depth and edge auxiliary
Publikováno v:
Powder Technology. 387:227-238
The Particle Tracking Velocimetry (PTV) has a wide range of applications in the field of fluid and particle flow measurement. Due to the uncertainty caused by the optimal probability in the matching algorithm, the long-term tracking of multiple parti
Publikováno v:
Advanced Powder Technology. 32:646-659
In this work, the discharging process of the binary mixture composed of sphere and sphere-paired particles in a two-dimensional silo was studied. High-speed camera and self-developed particle tracking velocimetry (PTV) program were used to capture th
Publikováno v:
IET Computer Vision, Vol 15, Iss 1, Pp 60-72 (2021)
Crowd counting has become a noteworthy vision task due to the needs of numerous practical applications, but it remains challenging. State‐of‐the‐art methods generally estimate the density map of the crowd image with the high‐level semantic fe
Publikováno v:
Pattern Analysis and Applications. 24:805-817
Crowd counting plays an important role in crowd analysis and monitoring. To this end, we propose a novel method called Adaptive Weighted Crowd Receptive Field Network (AWRFN) for crowd counting to estimate the number of people and the spatial distrib