NWPU-crowd: A large-scale benchmark for crowd counting and localization
In the last decade, crowd counting and localization attract much attention of researchers due
to its wide-spread applications, including crowd monitoring, public safety, space design, etc …
to its wide-spread applications, including crowd monitoring, public safety, space design, etc …
An end-to-end transformer model for crowd localization
Crowd localization, predicting head positions, is a more practical and high-level task than
simply counting. Existing methods employ pseudo-bounding boxes or pre-designed …
simply counting. Existing methods employ pseudo-bounding boxes or pre-designed …
Crowdclip: Unsupervised crowd counting via vision-language model
Supervised crowd counting relies heavily on costly manual labeling, which is difficult and
expensive, especially in dense scenes. To alleviate the problem, we propose a novel …
expensive, especially in dense scenes. To alleviate the problem, we propose a novel …
Cnn-based density estimation and crowd counting: A survey
Accurately estimating the number of objects in a single image is a challenging yet
meaningful task and has been applied in many applications such as urban planning and …
meaningful task and has been applied in many applications such as urban planning and …
Crowd analysis in video surveillance: A review
Crowd behavior investigation in images/videos is an important task applied in areas such as
people counting, density estimation, emotion recognition, motion detection, and flow …
people counting, density estimation, emotion recognition, motion detection, and flow …
Multi-object tracking meets moving UAV
Multi-object tracking in unmanned aerial vehicle (UAV) videos is an important vision task
and can be applied in a wide range of applications. However, conventional multi-object …
and can be applied in a wide range of applications. However, conventional multi-object …
Drone-based RGB-infrared cross-modality vehicle detection via uncertainty-aware learning
Drone-based vehicle detection aims at detecting vehicle locations and categories in aerial
images. It empowers smart city traffic management and disaster relief. Researchers have …
images. It empowers smart city traffic management and disaster relief. Researchers have …
Robust multi-drone multi-target tracking to resolve target occlusion: A benchmark
Multi-drone multi-target tracking aims at collabo-ratively detecting and tracking targets
across multiple drones and associating the identities of objects from different drones, which …
across multiple drones and associating the identities of objects from different drones, which …
Deep learning in crowd counting: A survey
Counting high‐density objects quickly and accurately is a popular area of research. Crowd
counting has significant social and economic value and is a major focus in artificial …
counting has significant social and economic value and is a major focus in artificial …
CFANet: Efficient detection of UAV image based on cross-layer feature aggregation
Y Zhang, C Wu, W Guo, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of the unmanned aerial vehicle (UAV) industry, UAV image
object detection technology has become a hotspot. However, due to a large number of …
object detection technology has become a hotspot. However, due to a large number of …