仅用COCO的RGB训练集训练的YOlO),另一个是tYOLO(用自定义的红外数据集训练过的YOLO),实验结果表明,用在热成像图像进行个体检测,可以降低天气,个体姿态,距离的影响,且环境与个体温差越大效果越明显。
Thermal infrared (TIR) imagingSurveillanceTiny-yolov3Darknet-53Human detection is a technology that detects human shapes in the image and ignores everything else. However, modern person detectors have some inefficiencies in detecting pedestrians during video surveillance at night, and the accuracy rate...
A hybrid algorithm is used to solve the activity recognition problem by combining the benefits of YOLOv3 [57] and GA. YOLOv3 is used to detect the changes in the frames using an accelerated GAs paradigm on the generated subblocks. To ensure the highest degree of accuracy, GAs parameters ...
The single-camera method uses fuzzy logic or machine learning to detect postural changes39,40,41,42. However, this approach makes fall detection along the optical axis difficult. The same challenge lies in falls partially occluded by objects such as furniture. Alternatively, deep learning is used ...
A custom dataset was created using the Autel Evo II Enterprise drone with a built-in thermal imaging camera. The experiments utilized You Look Only Once (YOLO) pre-trained models, specifically YOLO5s and YOLO8m, with a detailed analysis of precision, recall, and mean Average Precision (mAP)....
For the comparative study of facial detection three methods presenting three different approaches were chosen, namely the Viola-Jones, YOLOv2 and Faster-RCNN. All these algorithms were investigated along with various configurations and parameters and evaluated using three publicly available the...
Human Detection in Thermal Imaging Using YOLO. In Proceedings of the 2019 5th International Conference on Computer and Technology Applications, Istanbul, Turkey, 16–17 April 2019. [Google Scholar] Haider, A.M.; Shaukat, F.; Mir, J. Human detection in aerial thermal imaging using a fully ...
Firstly, the detection accuracy of small targets under low-resolution video is improved by optimizing the YOLOv4 network to obtain a human detection model under thermal imaging video. Secondly, the BPF model is designed to learn the human normal behavior features at each position. Finally, based ...
We characterize the target identification tasks such as a pair of tasks, one involving the classification of target candidate regions and the other using their regression. Object detection networks come in a wide variety; some examples include the RCNN family [20], SSD [21], YOLO series [22]...
Strong sun glint noise is an inevitable obstruction for tiny human object detection in maritime search and rescue (SAR) tasks, which can significantly deteriorate the performance of local contrast method (LCM)-based algorithms and cause high false alarm rates. For SAR tasks in noisy environments, ...