Results 11 to 20 of about 645,498 (280)
Localization in the Crowd with Topological Constraints
Proceedings of the AAAI Conference on Artificial Intelligence, 2021 We address the problem of crowd localization, i.e., the prediction of dots corresponding to people in a crowded scene. Due to various challenges, a localization method is prone to spatial semantic errors, i.e., predicting multiple dots within a same person or collapsing multiple dots in a cluttered region.
Shahira Abousamra +3 more
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Crowd-Driven Mapping, Localization and Planning [PDF]
, 2021 Accepted to ISER ...
Tingxiang Fan +3 more
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SRNet: Scale-Aware Representation Learning Network for Dense Crowd Counting
IEEE Access, 2021 Huge variations in the scales of people in images create an extremely challenging problem in the task of crowd counting. Currently, many researchers apply multi-column structures to solve the scale variation problem.
Liangjun Huang +4 more
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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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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 ...
Alahi, Alexandre +3 more
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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.
Weixin Li 0002 +2 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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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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