The YOLOv5n algorithm was used to train the dataset, and the StrongSORT tracking algorithm incorporated the best-trained model weights. The algorithm's performance has greatly improved, as demonstrated by experimental results. The number of ID switches (IDSW) has decreased by sixfold,...
Ground-to-Air Visual Detection ofUAV: AirSim-Based Dataset Generation andDeep Learning Evaluationdoi:10.1007/978-981-96-2232-0_22Vision-based unmanned aerial vehicle (UAV) target detection has significant application value in many scenarios. Obtaining a suitable dataset to provide sample support for ...
A model of saliency-based visual attention for rapid scene analysis. IEEE Trans. Pattern Anal. Mach. Intell. 1998, 20, 1254–1259. [Google Scholar] [CrossRef] Figure 1. (a) The object position and tracking sensor (OPTAS) system is mounted on the tripod. Adapted from [7]; (b) UAS...
In the case of whole image areas, the only relatively large deviation from the actual number of animals was observed for the second dataset (last date inTable 4), mostly due to the presence of several calves. For the first dataset, the count estimates obtained for the whole areas tended to...