Colour combination attention for object recognition. Issue 9 (1st September 2014)

• Record Type: Journal Article
• Authors: Zhu, Jie; Yu, Jian; Wang, Chaomurilige; Li, Fan‐Zhang
• Is Part Of: IET image processing. Volume 8:Issue 9(2014)
• Page Start: 539
• Page End: 547
• Publication Date: 2014-09-01
• Subjects: image classification -- image colour analysis -- image fusion -- object recognition; colour combination attention -- object recognition -- bag‐of‐words framework -- BOW framework -- multiple cues fusion methods -- scene classiflcation -- object classiflcation -- top‐down colour attention method -- top‐down CA method -- top‐down category‐speciflc attention map -- category‐speciflc colour regions -- object colours diversity -- intraclass colour variation -- colour combination histogram -- feature fusion method; Image processing -- Periodicals; 621.36705
• DOI: 10.1049/iet-ipr.2013.0431
• Languages: English
• ISSNs: 1751-9659

Abstract

Abstract : Within the bag‐of‐words (BOWs) framework, the multiple cues fusion methods provide excellent results in object and scene classification. Top‐down colour attention (CA) method is developed to use colour to guide attention by means of a top‐down category‐specific attention map. In this method, more features are taken from category‐specific colour regions where objects are more likely to be contained. In CA, the colours on the object are considered separately, so the diversity of object colours and large intra‐class colour variation make the discrimination of every colour on the object different. Object could be recognised as a collection of related colours. To enhance the object recognition capability of CA, our colour combination attention method uses mutual information and the colour combination histogram to estimate and combine the colours on the object. Results are presented on three challenging data sets, and the experiments demonstrate that the proposed feature fusion method significantly outperforms the state‐of‐the‐art methods.