Results 11 to 20 of about 27,881 (274)
Remote Sensing, 2022 Crowd-sensing-based localization is regarded as an effective method for providing indoor location-based services in large-scale urban areas. The performance of the crowd-sensing approach is subject to the poor accuracy of collected daily-life ...
Qiao Wan +3 more
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Congested Crowd Counting via Adaptive Multi-Scale Context Learning
Sensors, 2021 In this paper, we propose a novel congested crowd counting network for crowd density estimation, i.e., the Adaptive Multi-scale Context Aggregation Network (MSCANet).
Yani Zhang +5 more
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Research on crowd-sourced localization algorithm for narrow and closed battlefield environment [PDF]
Zhihui kongzhi yu fangzhen, 2023 In order to solve the problem of how to quickly and accurately obtain the location information of self-organizing networks or target objects in the narrow and closed battlefield environment, such as the enemy command center, cabins, and underground ...
LI Yaoyu, CHEN Jie, WEI Yong
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Crowd-Driven Mapping, Localization and Planning [PDF]
, 2021 Accepted to ISER ...
Fan, Tingxiang +3 more
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Crowd Anomaly Detection via Spatial Constraints and Meaningful Perturbation
ISPRS International Journal of Geo-Information, 2022 Crowd anomaly detection is a practical and challenging problem to computer vision and VideoGIS due to abnormal events’ rare and diverse nature. Consequently, traditional methods rely on low-level reconstruction in a single image space, easily affected by
Jiangfan Feng, Dini Wang, Li Zhang
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Crowd dynamics through non-local conservation laws [PDF]
Bulletin of the Brazilian Mathematical Society, New Series, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aggarwal, Aekta, Goatin, Paola
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Anomaly Detection and Localization in Crowded Scenes [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014 The detection and localization of anomalous behaviors in crowded scenes is considered, and a joint detector of temporal and spatial anomalies is proposed. The proposed detector is based on a video representation that accounts for both appearance and dynamics, using a set of mixture of dynamic textures models.
Li, Weixin +2 more
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Journal of Advanced Transportation, 2022 LiDAR-based localization has been widely used for the pose estimation of autonomous vehicles. Since the localization requires a sustainable map reflecting environment changes, a map update framework based on crowd-sourcing measurements has been ...
Chansoo Kim +5 more
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Unsupervised camera localization in crowded spaces [PDF]
2017 IEEE International Conference on Robotics and Automation (ICRA), 2017 Existing camera networks in public spaces such as train terminals or malls can help social robots to navigate crowded scenes. However, the localization of the cameras is required, i.e., the positions and poses of all cameras in a unique reference. In this work, we estimate the relative location of any pair of cameras by solely using noisy trajectories ...
Alexandre Alahi +3 more
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HAGN: Hierarchical Attention Guided Network for Crowd Counting
IEEE Access, 2020 In recent years, deep learning based crowd counting networks have achieved significant progress. However, most of them generate rough crowd density maps due to low-resolution features used for estimating crowd distribution, which affects the performance ...
Zuodong Duan, Yujun Xie, Jiahao Deng
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