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AUTOMATIC TRACKING SYSTEM OF PEDESTRIANS USING IMAGE PROCESSING METHOD
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- KITAI Kayoko
- Graduate School of Design, Kobe Design Univ.
Bibliographic Information
- Other Title
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- 画像処理による歩行者流動の自動追尾手法
- ガゾウ ショリ ニヨル ホコウシャ リュウドウ ノ ジドウ ツイビ シュホウ
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Description
This study is developing an automatic tracking system of pedestrians using an image processing method. First, I extract mobile objects ( pedestrians ) using motion imformation which image sequences have and label them to recognize each object. Second, I segment them form clusters using the K-mean method which is one of the cluster methods in five dimensions ( R,G,B color spaces and x,y position spaces) . Last, I track each object and get a tracking data of pedestrians. I inspect effects of this algorithm using images which are recorded on surveys.
Journal
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- Journal of Architecture and Planning (Transactions of AIJ)
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Journal of Architecture and Planning (Transactions of AIJ) 62 (493), 195-200, 1997
Architectural Institute of Japan
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Details 詳細情報について
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- CRID
- 1390282679757580160
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- NII Article ID
- 110004654610
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- NII Book ID
- AN10438548
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- ISSN
- 18818161
- 13404210
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- NDL BIB ID
- 4171213
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL Search
- Crossref
- CiNii Articles
- OpenAIRE
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- Abstract License Flag
- Disallowed