Ground Vehicle Target Detection Algorithm Based on Saliency Detection
Junyong Ma, Yinji Hu, Feiran Jie · 2016
An algorithm for ground vehicle target detection based on unsupervised learning and saliency detection is proposed. Firstly, acquire local features of vehicle target by unsupervised learning. Then code the detecting target image using these local features. Perform saliency detection in the image applying these features, and obtain the candidate target regions. The classifier applies only to those salient regions in order to ensure the efficiency of detection. Meanwhile, computation efficiency is guaranteed by simplifying highly relevant features.