Abstract: Moving vehicle detection from wide area aerial surveillance is an important and challenging task, which can be aided by context information.

2023/08/06 · Moving vehicle detection from wide area aerial surveillance is an important and challenging task, which can be aided by context information.

The experiments demonstrate that the proposed Temporal Context (TC) is useful to remove the false positives that are away from the road, and the combination ...

Abstract—Moving vehicle detection from wide area aerial surveillance is an important and challenging task, which can be aided by context information.

Bibliographic details on Vehicle detection in wide area aerial surveillance using Temporal Context.

Vehicle detection in wide area aerial surveillance using temporal context. P Liang, H Ling, E Blasch, G Seetharaman, D Shen, G Chen. Proceedings of the 16th ...

In this work we propose to learn motion patterns in wide area scenes and take advantage of this additional information in tracking to remove false alarm and ...

Quantitative evaluation demonstrates that the proposed contextual model remarkably improves the detection performance of a novel moving vehicle detection ...

Persistent surveillance of large geographic areas from unmanned aerial vehicles allows us to learn much about the daily activities in the region of interest ...

We present a spatio- temporal deep learning model based on YOLOv5 that ex- ploits temporal context by processing sequences of frames at once. The model ...