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Local Structured Representation for Generic Object Detection
Oct 21, 2017Author:
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Title: Local Structured Representation for Generic Object Detection

 Authors: Zhang, JG; Huang, KQ; Tan, TN; Zhang, ZX

 Author Full Names: Zhang, Junge; Huang, Kaiqi; Tan, Tieniu; Zhang, Zhaoxiang

 Source: FRONTIERS OF COMPUTER SCIENCE, 11 (4):632-648; 10.1007/s11704-016-5530-6 AUG 2017

 Language: English

 Abstract: Structure information plays an important role in both object recognition and detection. This paper studies what visual structure is and addresses the problem of structure modeling and representation from two aspects: visual feature and topology model. Firstly, at feature level, we propose Local Structured Descriptor to capture the object's local structure effectively, and develop the descriptors from shape and texture information, respectively. Secondly, at topology level, we present a local structured model with a boosted feature selection and fusion scheme. All experiments are conducted on the challenging PASCAL Visual Object Classes (VOC) datasets from VOC2007 to VOC2010. Experimental results show that our method achieves very competitive performance.

 ISSN: 2095-2228

 eISSN: 2095-2236

 IDS Number: FB6HR

 Unique ID: WOS:000406242800006

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