首页|Study Findings from University of Taipei Update Knowledge in Pattern Recognition and Artificial Intelligence (A Novel Multi-Data-Augmentation and Multi-Deep-Lea rning Framework for Counting Small Vehicles and Crowds)
Study Findings from University of Taipei Update Knowledge in Pattern Recognition and Artificial Intelligence (A Novel Multi-Data-Augmentation and Multi-Deep-Lea rning Framework for Counting Small Vehicles and Crowds)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on pa ttern recognition and artificial intelligence. According to news reporting origi nating from Taipei, Taiwan, by NewsRx correspondents, research stated, "Counting small pixel-sized vehicles and crowds in unmanned aerial vehicles (UAV) images is crucial across diverse fields, including geographic information collection, t raffic monitoring, item delivery, communication network relay stations, as well as target segmentation, detection, and tracking." Financial supporters for this research include Ministry of Science And Technolog y, Taiwan. Our news reporters obtained a quote from the research from University of Taipei: "This task poses significant challenges due to factors such as varying view ang les, non-fixed drone cameras, small object sizes, changing illumination, object occlusion, and image jitter. In this paper, we introduce a novel multidata- augm entation and multi-deep-learning framework designed for counting small vehicles and crowds in UAV images. The framework harnesses the strengths of specific deep -learning detection models, coupled with the convolutional block attention modul e and data augmentation techniques. Additionally, we present a new method for de tecting cars, motorcycles, and persons with small pixel sizes. Our proposed meth od undergoes evaluation on the test dataset v2 of the 2022 AI Cup competition, w here we secured the first place on the private leaderboard by achieving the high est harmonic mean."
University of TaipeiTaipeiTaiwanAs iaMachine LearningPattern Recognition and Artificial Intelligence
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