Vehicle Detection Based on Semantic Segmentation

ÖMEROĞLU A. N., ORAL E. A., KUMBASAR N., ÖZBEK İ. Y., ABDO H. M.

ISASE2018, 26 - 28 Kasım 2018 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1145/3297156.3297269
  • Anahtar Kelimeler: semantic segmentation, Mask R-CNN, visual attention mechanism, UAV detection
  • Atatürk Üniversitesi Adresli: Evet

Özet

Combined with semantic segmentation and visual attention mechanism, a new method for UAV detection in complex background is presented. The semantic segmentation of target image, which is implemented by Mask R-CNN, is used to exclude invalid regions. Then the processes of small target detection based on visual attention mechanism is built. This method is used to detecting the position of UAV in the sky. The effectiveness of algorithm proposed in this paper is proved by a large number of experiments.