The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Publications Copernicus
Download
Citation
Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 23–27, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-23-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 23–27, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-23-2020

  12 Aug 2020

12 Aug 2020

EVALUATING SECTOR RING HISTOGRAM OF ORIENTED GRADIENTS FILTER IN LOCATING HUMANS WITHIN UAV IMAGES

M. Ghasemi1, M. Varshosaz1, and S. Pirasteh2 M. Ghasemi et al.
  • 1Dept. of Photogrammetry, Faculty of Geomatics Eng., K. N. Toosi University of Technology, Iran
  • 2Department of Surveying and Geoinformatics, Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong, China

Keywords: UAV, Human Detection, SRHOG, Evaluation

Abstract. Developing systems to find injured people quickly after natural disasters is an important topic. In recent years, special attention has been paid to the use of UAV images for this purpose. In this regard, an accurate and strong feature is required. It is shown that the Sector Ring Histogram of Oriented Gradients, is a feature very much independent from rotation and scale. The aim of this paper is to evaluate the performance of a human detection algorithm which is based on this strong feature. Experiments carried out suggest that using SRHOG feature humans can be detected with an accuracy of 73.69%. However, despite giving good accuracy, SRHOG results contain more than 33.33 % false labels.