講演抄録/キーワード |
講演名 |
2015-03-19 16:10
People Detection and Tracking by Spatio-Temporally Clustering Feature Points ○Huy Phan(Keio Univ.)・Sho Isobe(OKI)・Shota Takayama・Hirokatsu Kataoka(Keio Univ.)・Naoki Kurita・Makoto Masuda(OKI)・Yoshimitsu Aoki(Keio Univ) BioX2014-59 PRMU2014-179 |
抄録 |
(和) |
(まだ登録されていません) |
(英) |
The performance of detection and tracking systems greatly depends on the quality of its information sources. In general, occlusions and the sheer number of objects pose challenges to most appearance-based human detectors and data association algorithms used for tracking.
Recent works based on feature point tracking and clustering have already begun to use motion information to segment independent objects, which are less computationally expensive. However, the frequently used Lucas-Kanade feature point tracker has limited accuracy; and tracking capability of these systems is not well defined.
We now propose the use of Farneback optical flow to increase the reliability of feature point trackers. In addition, we also associate clustering results temporally by making use of the tracker’s continuity. |
キーワード |
(和) |
/ / / / / / / |
(英) |
Feature Point / Clustering / Optical Flow / / / / / |
文献情報 |
信学技報, vol. 114, no. 521, PRMU2014-179, pp. 123-127, 2015年3月. |
資料番号 |
PRMU2014-179 |
発行日 |
2015-03-12 (BioX, PRMU) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
著作権に ついて |
技術研究報告に掲載された論文の著作権は電子情報通信学会に帰属します.(許諾番号:10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
PDFダウンロード |
BioX2014-59 PRMU2014-179 |
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