Publisher : The Korean Institute of Information and Commucation Engineering
DOI : 10.6109/jkiice.2015.19.8.1805
Title & Authors
Hardware Implementation of Depth Image Stabilization Method for Efficient Computer Vision System Kim, Geun-Jun; Kang, Bongsoon;
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.
Depth data stabilization;Depth sensor;Computer vision;Motion recognition;FPGA;
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