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Hardware Implementation of Depth Image Stabilization Method for Efficient Computer Vision System
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 Title & Authors
Hardware Implementation of Depth Image Stabilization Method for Efficient Computer Vision System
Kim, Geun-Jun; Kang, Bongsoon;
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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;
 Cited by
Jungong Han, Ling Shao, Dong Xu and Shotton., “Enhanced computer vision with microsoft kinect sensor: A Review,” IEEE Transactions on Cybernetics, Vol. 43, no. 5, pp. 1318-1334, Oct. 2013. crossref(new window)

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Geun-Jun Kim, Gippeum Jo, Hosang Cho, Bongsoon Kang, "Depth data smoothing method for the motion recognition pre-processing system," in proceeding of the Information and Control Symposium, Seoul, pp. 22-23, April. 2014.

Kyounghoon Jang, Hosang Cho, Geun-Jun Kim and Bongsoon Kang, "A Floor Plane Removal System Using Depth Information for Motion Recognition System," in proceeding of the International Conference on Information Technology Convergence and Services, Taiwan, pp. 33-38, Oct. 2014.