Object detection based on spatio-temporal light field sensing

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)


This paper discusses about object detection based on spatio-temporal light field sensing. Our proposed method generates an arbitrary in-focus plane in the surveillance scene, and the background region can be filtered out by out-focusing. A new feature representation, called Local Ray Pattern (LRP), is introduced to evaluate the spatial consistency of light rays. The combination of LRP and GMM-based background modeling realizes object detection on the in-focus plane. Experimental results demonstrate the effectiveness and applicability for video surveillance.

Original languageEnglish
Pages (from-to)129-133
Number of pages5
JournalIPSJ Transactions on Computer Vision and Applications
Publication statusPublished - Jul 2013

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition


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