객체 추적 하드웨어를 위한 Kalman-like 필터Hardware Friendly Kalman-like Filter for the Object Tracking
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 전다현 | ko |
| dc.contributor.author | 박인철 | ko |
| dc.date.accessioned | 2015-06-24T02:03:56Z | - |
| dc.date.available | 2015-06-24T02:03:56Z | - |
| dc.date.created | 2015-06-11 | - |
| dc.date.issued | 2014-06 | - |
| dc.identifier.citation | 대한전자공학회 하계학술대회 | - |
| dc.identifier.uri | http://hdl.handle.net/10203/198889 | - |
| dc.description.abstract | By adding another register, physical model of a kalman filter can be changed to a linear approximation. Kalman filter is inappropriate for hardware implementation because of the complex matrix computation. In this paper, novel estimation algorithm for object tracking is proposed to simplify the computation complexity. By using extra delay cell, proposed algorithm has able to achieve high accuracy without any matrix inversion. | - |
| dc.language | Korean | - |
| dc.publisher | 대한전자공학회 | - |
| dc.title | 객체 추적 하드웨어를 위한 Kalman-like 필터 | - |
| dc.title.alternative | Hardware Friendly Kalman-like Filter for the Object Tracking | - |
| dc.type | Conference | - |
| dc.type.rims | CONF | - |
| dc.citation.publicationname | 대한전자공학회 하계학술대회 | - |
| dc.identifier.conferencecountry | KO | - |
| dc.identifier.conferencelocation | 제주 그랜드호텔 | - |
| dc.contributor.localauthor | 박인철 | - |
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