Object Detection Based on Spatio-temporal Light Field Sensing
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概要
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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.
著者
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Shimada Atsushi
Faculty of Agriculture, Shizuoka University
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Nagahara Hajime
Faculty of Information Science and Electrical Engineering, Kyushu University
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Taniguchi Rin-ichiro
Faculty of Information Science and Electrical Engineering, Kyushu University
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