Object sieving and morphological closing to reduce false detections in wide-area aerial imagery

Abstract

For object detection in wide-area aerial imagery, post-processing is usually needed to reduce false detections. We propose a two-stage post-processing scheme which comprises an area-thresholding sieving process and a morphological closing operation. We use two wide-area aerial videos to compare the performance of five object detection algorithms in the absence and in the presence of our post-processing scheme. The automatic detection results are compared with the ground-truth objects. Several metrics are used for performance comparison.

5 Pages, Submitted to 2016 23rd International Conference of Image Processing (ICIP), September 23-28, Phoenix, AZ, USA (Paper ID: 3218)