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http://dx.doi.org/10.6109/jkiice.2015.19.8.1805

Hardware Implementation of Depth Image Stabilization Method for Efficient Computer Vision System  

Kim, Geun-Jun (Department of Electronic Engineering, Dong-A University)
Kang, Bongsoon (Department of Electronic Engineering, Dong-A University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.19, no.8, 2015 , pp. 1805-1810 More about this Journal
Abstract
Increasing of depth data accessibility, depth data is used in many researches. Motion recognition of computer vision also widely use depth image. More accuracy motion recognition system needs more stable depth data. But depth sensor has a noise. This noise affect accuracy of the motion recognition system, we should noise suppression. In this paper, we propose using spatial domain and temporal domain stabilization for depth image and makes it hardware IP. We adapted our hardware to floor removing algorithm and verification its effect. we did realtime verification using FPGA and APU. Designed hardware has maximum frequency 202.184MHz.
Keywords
Depth data stabilization; Depth sensor; Computer vision; Motion recognition; FPGA;
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