Spatiotemporal Object Detection for Improved Aerial Vehicle Detection in Traffic Monitoring
This work presents advancements in multi-class vehicle detection using UAV cameras through the development of spatiotemporal object detection models. The study introduces a Spatio-Temporal Vehicle Detection Dataset (STVD) containing 6, 600 annotated sequential frame images captured by UAVs, enabling comprehensive training and evaluation of algorithms for holistic spatiotemporal perception. A YOLO-based object detection algorithm is enhanced to incorporate temporal dynamics, resulting in improved performance over single frame models. The integration of attention mechanisms into spatiotemporal models is shown to further enhance performance. Experimental validation demonstrates significant progress, with the best spatiotemporal model exhibiting a 16.22% improvement over single frame models, while it is demonstrated that attention mechanisms hold the potential for additional performance gains.
Code (0)
등록된 구현이 없습니다.
Tasks
Objectobject-detectionObject Detectionvehicle detectionMethods 이 논문이 사용한 방법론
Similar Papers 제목 키워드 기반
Towards Robust Visual Tracking for Unmanned Aerial Vehicle with Tri-Attentional Correlation Filters
Object tracking has been broadly applied in unmanned aerial vehicle (UAV) tasks in recent years. However, existing algorithms still face difficulties such as partial occlusion, clutter background, and other challenging v…
Object TrackingVisual TrackingAVDNet: A Small-Sized Vehicle Detection Network for Aerial Visual Data
Detection of small-sized targets in aerial views is a challenging task due to the smallness of vehicle size, complex background, and monotonic object appearances. In this letter, we propose a one-stage vehicle detection …
vehicle detectionThe Solution for the GAIIC2024 RGB-TIR object detection Challenge
This report introduces a solution to The task of RGB-TIR object detection from the perspective of unmanned aerial vehicles. Unlike traditional object detection methods, RGB-TIR object detection aims to utilize both RGB a…
Objectobject-detectionObject DetectionVehicle Detection in Aerial Images
The detection of vehicles in aerial images is widely applied in many applications. Comparing with object detection in the ground view images, vehicle detection in aerial images remains a challenging problem because of sm…
object-detectionObject Detectionvehicle detectionDoors in the Sky: Detection, Localization and Classification of Aerial Vehicles using Laser Mesh
The stealth technology and unmanned aerial vehicles (UAVs) are expected to dominate current and future aerial warfare. The radar systems at their maximum operating ranges, however, are not always able to detect stealth a…