Zobrazeno 1 - 10
of 7 850
pro vyhledávání: '"Crowd Counting"'
Autor:
Wu, Qiming
Crowd Counting is a fundamental topic, aiming to estimate the number of individuals in the crowded images or videos fed from surveillance cameras. Recent works focus on improving counting accuracy, while ignoring the certified robustness of counting
Externí odkaz:
http://arxiv.org/abs/2409.19146
Autor:
Pan, Tianhang, Jia, Xiuyi
Currently, most crowd counting methods have outstanding performance under normal weather conditions. However, they often struggle to maintain their performance in extreme and adverse weather conditions due to significant differences in the domain and
Externí odkaz:
http://arxiv.org/abs/2408.05956
Multi-modal crowd counting is a crucial task that uses multi-modal cues to estimate the number of people in crowded scenes. To overcome the gap between different modalities, we propose a modal emulation-based two-pass multi-modal crowd-counting frame
Externí odkaz:
http://arxiv.org/abs/2407.19491
Multi-modal crowd counting involves estimating crowd density from both visual and thermal/depth images. This task is challenging due to the significant gap between these distinct modalities. In this paper, we propose a novel approach by introducing a
Externí odkaz:
http://arxiv.org/abs/2407.07518
Autor:
Yu, Ying1 (AUTHOR) yuyingjx@163.com, Yu, Jiamao1 (AUTHOR), Qian, Jin1 (AUTHOR), Zhu, Zhiliang1 (AUTHOR), Han, Xing1 (AUTHOR)
Publikováno v:
Journal of Intelligent & Fuzzy Systems. 2023, Vol. 45 Issue 6, p9445-9455. 11p.
Autor:
Gu, Yanhong1,2 (AUTHOR) guyh@hfuu.edu.cn, Zhang, Tao1,2 (AUTHOR) 18075366582@163.com, Hu, Yuxia3 (AUTHOR), Nian, Fudong1,2,3 (AUTHOR) nianfd@hfuu.edu.cn
Publikováno v:
Mathematics (2227-7390). May2024, Vol. 12 Issue 10, p1562. 14p.
Autor:
Alhawsawi, Abdullah N1 (AUTHOR) anhawsawi@uqu.edu.sa, Khan, Sultan Daud2 (AUTHOR) sultandaud@gmail.com, Ur Rehman, Faizan3 (AUTHOR)
Publikováno v:
Information (2078-2489). May2024, Vol. 15 Issue 5, p275. 22p.
Multi-view counting (MVC) methods have shown their superiority over single-view counterparts, particularly in situations characterized by heavy occlusion and severe perspective distortions. However, hand-crafted heuristic features and identical camer
Externí odkaz:
http://arxiv.org/abs/2407.02047
Crowd counting and localization have become increasingly important in computer vision due to their wide-ranging applications. While point-based strategies have been widely used in crowd counting methods, they face a significant challenge, i.e., the l
Externí odkaz:
http://arxiv.org/abs/2405.10589
As a deep learning model, Visual Mamba (VMamba) has a low computational complexity and a global receptive field, which has been successful applied to image classification and detection. To extend its applications, we apply VMamba to crowd counting an
Externí odkaz:
http://arxiv.org/abs/2405.03978