Comprehensive analysis of human action recognition and object detection in aerial environments
Mrugendrasinh L. Rahevar, Amit P Ganatra, Hiren Kumar Mewada, Krunal Maheriya · 2023
Drone-based aerial view analysis is the newly emerging technique helpful in topological, regional analysis and interpretation of objects and features. Due to its relevance to environment monitoring, Human action recognition (HAR) and Object detection (OD) from aerial view to search and rescue is the technical challenges. They are difficulties owing to diverse views, the tiny size of persons and objects, and involved constraints in processing. The deep learning models are proven accurate in image and video processing applications. However, the impact of Drone ego-motion on object identification, human activity detection, and crowded backgrounds may weaken the deep learning applicability in aerial view analysis. This assessment establishes current trends and progress in HAR and OD. Initially, the study on various datasets, including UCF-ARG, Okutama, BirdsEye View, and DOTA, is presented. Then, a summary and comparative analysis of various areal perspective algorithms are discussed. Finally, challenges and new directions in aerial view-based HAR and OD are discussed in depth.