Simple In-place Data Augmentation for Surveillance Object Detection

arXiv:2404.11226v1 Announce Type: new
Abstract: Motivated by the need to improve model performance in traffic monitoring tasks with limited labeled samples, we propose a straightforward augmentation technique tailored for object detection datasets, specifically designed for stationary camera-based applications. Our approach focuses on placing objects in the same positions as the originals to ensure its effectiveness. By applying in-place augmentation on objects from the same camera input image, we address the challenge of overlapping with original and previously selected objects. Through …

abstract applications arxiv augmentation cs.cv data datasets detection monitoring object objects originals performance samples simple surveillance tasks traffic type