Salient object detection approach in UAV video

Yueqiang Zhang; Ang Su; Xianwei Zhu; Xiaohu Zhang; Yang Shang

doi:10.1117/12.2032141

26 October 2013 Salient object detection approach in UAV video

Yueqiang Zhang, Ang Su, Xianwei Zhu, Xiaohu Zhang, Yang Shang

Proceedings Volume 8918, MIPPR 2013: Automatic Target Recognition and Navigation; 89180Y (2013) https://doi.org/10.1117/12.2032141
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China

Abstract

The automatic detection of visually salient information from abundant video imagery is crucial, as it plays an important role in surveillance and reconnaissance tasks for Unmanned Aerial Vehicle (UAV). A real-time approach for the detection of salient objects on road, e.g. stationary and moving vehicle or people, is proposed, which is based on region segmentation and saliency detection within related domains. Generally, the traditional method specifically depends upon additional scene information and auxiliary thermal or IR sensing for secondary confirmation. However, this proposed approach can detect the interesting objects directly from video imagery captured by optical camera fixed on the small level UAV platform. To validate this proposed salient object detection approach, the 25 Hz video data from our low speed small UAV are tested. The results have demonstrated the proposed approach performs excellently in isolated rural environments.

Citation Download Citation

Yueqiang Zhang, Ang Su, Xianwei Zhu, Xiaohu Zhang, and Yang Shang "Salient object detection approach in UAV video", Proc. SPIE 8918, MIPPR 2013: Automatic Target Recognition and Navigation, 89180Y (26 October 2013); https://doi.org/10.1117/12.2032141

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