Results 81 to 90 of about 322,190 (190)

Towards fully automated analysis of crowd counting in images

Crowd counting is a computer vision task, which involves estimating the number of objects in images and videos. Traditional methods that rely on handcrafted features often fail to produce satisfactory results due to their limited ability to capture the ...
Qian, Yifei
core   +1 more source

Floor-Field-Guided Neural Model for Crowd Counting

IEEE Access
Crowd counting and density estimation are the principal objectives of crowd analysis, which offer significant applications in surveillance, event management, and traffic design.
Takehiro Habara, Ryosuke Kojima
doaj   +1 more source

Lightweight multi-stage temporal inference network for video crowd counting

Frontiers in Physics
Crowd density is an important metric for preventing excessive crowding in a particular area, but it still faces challenges such as perspective distortion, scale variation, and pedestrian occlusion.
Wei Gao, Wei Gao, Rui Feng, Xiaochun Sheng   +3 more
doaj   +1 more source

Crowd Counting Using Deep Learning Techniques

, 2021
Due to rapid growth of the World population, urbanization generates crowding situations which pose challenges to public safety, security and to the management of crowd.
Naveed Ilyas
core  

Ambient Sound Helps: Audiovisual Crowd Counting in Extreme Conditions [PDF]

, 2020
Visual crowd counting has been recently studied as a way to enable people counting in crowd scenes from images. Albeit successful, vision-based crowd counting approaches could fail to capture informative features in extreme conditions, e.g., imaging at ...
Hua, Yuansheng, Di, Hu, Gao, Junyu, Dou, Dejing, Wang, Qingzhong, Zhu, Xiao Xiang, Mou, LiChao   +6 more
core   +1 more source

Feature channel enhancement for crowd counting

IET Image Processing, 2020
Crowd counting, i.e. count the number of people in a crowded visual space, is emerging as an essential research problem with public security. A key in the design of the crowd counting system is to create a stable and accurate robust model, which requires
Xingjiao Wu, Shuchen Kong, Yingbin Zheng, Hao Ye, Jing Yang, Liang He   +5 more
doaj   +1 more source

Attention to Head Locations for Crowd Counting

CoRR, 2018
Occlusions, complex backgrounds, scale variations and non-uniform distributions present great challenges for crowd counting in practical applications. In this paper, we propose a novel method using an attention model to exploit head locations which are the most important cue for crowd counting.
Youmei Zhang, Chunluan Zhou, Faliang Chang, Alex C. Kot   +3 more
openaire   +3 more sources

Semi-Supervised Crowd Counting from Unlabeled Data [PDF]

Automatic Crowd behavior analysis can be applied to effectively help the daily transportation statistics and planning, which helps the smart city construction. As one of the most important keys, crowd counting has drawn increasing attention. Recent works
Hu, Bingzhang, Shum, Hubert P. H., Wang, Zeyu, Wan, Fan, Ojha, Varun, Sun, Rui, Guan, Yu, Duan, Haoran, Long, Yang   +8 more
core   +1 more source

Crowd Counting Camera Array and Correction

"Crowd counting" is a term used to describe the process of calculating the number of people in a given context; however, crowd counting has multiple challenges especially when images representing a given crowd span multiple cameras or images.
Fausak, Andrew Todd
core   +1 more source

Deep learning for crowd counting in complex environments: challenges and novel trends

Discover Computing
Crowd counting is a challenging task, especially when accurately estimating the number of people in large crowds under diverse environmental conditions.
Heba F. Elsepae, Heba M. El-Hoseny, Ehab K. I. Hamad, El-Sayed M. El-Rabaie   +3 more
doaj   +1 more source