Vehicle Target Detection Algorithm Based on Feature Saliency
Journal Title: 河南科技大学学报（自然科学版） - Year 2017, Vol 38, Issue 1
Abstract
Aimed at the problem of moving target detection is not suitable for real-time applications,an algorithm of ground vehicle target detection was presented by combining unsupervised feature learning and saliency detection. Local features of vehicle targets were learned and encoded to realize saliency detection of the entire image and acquire the potential target area. The highly relevant features can be removed by correlation analysis to effectively suppress the backdrops and highlight the salient targets.
Authors and Affiliations
Quan CHENG, Yu FAN, Yuchun LIU, Peng CHENG
Keywords
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