The sensor network estimates locations of sensor nodes using image processing to extract locations of humans wearing sensors. This paper evaluates the accuracy of human detection by informed-filters using only color features for actual aerial images. To carry out the evaluation, a novel dataset ...
Many objects in this dataset can only be identified by context, due to their small size or ambiguous appearance. To push research in contextual reasoning, the annotation information of images not only includes category and location information but also semantic text description of images. However, ...
“Aerial photography” pertains to visual data captured from elevated viewpoints, such as from an airborne platform or satellite. These images offer a top-down view of the landscape. Such images may vary in imaging angles, such as oblique satellite photogrammetry. The present work focused on verti...
This study demonstrates that person identification from drone-captured images is poor when targets are unfamiliar (Experiment 1), when targets are familiar and the number of possible identities is restricted by context (Experiment 2), and when moving footage is employed (Experiment 3). Person ...
Therefore, investigating multiple recognition methods is crucial to solving the target detection problem of UAVs in challenging environments. In this study, the VisDrone2019 dataset is used, which contains high-resolution images under a variety of weather conditions and covers a number of challenging ...
To avoid this problem, the dataset must be annotated which reflects real-world applications. Therefore, it is not unusual that the object detection models learned from traditional images are not appropriate for aerial images. 1.1. Research motivation Drone surveillance has higher mobility and large ...
Through a cell phone camera, we captured a total of 1200 raw pavement images, among which 1000 images were randomly stored in a training dataset, whereas the remaining 200 images were collected as new images to be tested by the Crack detection of tiled sidewalks by YOLO The trained YOLO ...
The method for constructing a dune morphology dataset from automatically segmented UAV orthoimages provides a reference value for the study of large-scale dune morphology classification.Li, MingYang, ZekunYan, JiehuaLi, HaoranYe, WangzhongSensors (14248220)...
We investigated whether synthetic data can be used to complement a real-world training dataset which does not cover the whole ODD of an ML-based system component for visual object detection. The use-case in focus is the detection of humans on the ground to assess the safety of ...
Finally, we add total variation loss to generate adversarial examples that appear natural to humans. We validate the effectiveness of our method against popular trackers such as SiamRPN, DaSiamRPN, and SiamRPN on the UAV123 remote sensing dataset. Experimental results verify the superior ...