The simplicity of the technique is attributed to its real-time capability to detect and track fruits in a video of fruit-bearing trees. The ground truth data were computed on 25 video sequences and the system was tested on another 25 videos. The detection efficiency is as high as 96.3%. ...
IRAST [26] used unlabeled images to achieve more reliable and efficient semi-supervised crowd counting by learning feature extractors and binary segmentation tasks. DACount [25] utilized SSL and integrated strategies such as density proxies, contrastive learning, transformer structure, and noise ...
function (PRF) model with a 3 × 3 kernel size for under 10–12-year-old oil palm trees, while exponential regression function (ERF) is more fitted for older trees (i.e., 22 years old). Overall, recent remote sensing dataset and machine learning techniques are useful in monitoring and ...
where its output is the estimated people counts in the input image. In addition, to reduce the false positive errors, which are mainly caused by the existence of trees and buildings in the background, training data are augmented by adding negative samples whose ground truth count is set as ...
while shapes with different parameter values are labeled as Class 2, resulting in a total of 11 extracted features. For feature selection, we utilize the SelectFromModel method from the sklearn library. This method employs the Random Forest classifier, trained with 100 decision trees, to identify...
where its output is the estimated people counts in the input image. In addition, to reduce the false positive errors, which are mainly caused by the existence of trees and buildings in the background, training data are augmented by adding negative samples whose ground truth count is set as ...