| 大会名称 |
|---|
| 2009年 情報科学技術フォーラム(FIT) |
| 大会コ－ド |
| F |
| 開催年 |
| 2009 |
| 発行日 |
| 2009/8/20 |
| セッション番号 |
| 5H |
| セッション名 |
| 画像認識 |
| 講演日 |
| 2009/09/03 |
| 講演場所(会議室等) |
| H会場（9号館2F 923教室） |
| 講演番号 |
| H-003 |
| タイトル |
| Comparison of Several Shape Descriptors in Order to Perform Car Recognition from a Moving Camera |
| 著者名 |
| Briois Sebastien, Ohya Jun, Xie Yingdi, |
| キーワード |
| shape descriptor, car recognition, contours extraction, shape description |
| 抄録 |
|
This paper focuses on car recognition from a moving camera. After implementing a robust method to define a region of interest for the car recognition algorithm, the main issue to overcome is the choice of a suitable shape descriptor. In the past decade, several methods have been proposed. Wang, Lee [99], Alajilan [07], Han, Yang [05] constitute the main contributions to shape descriptors. The objective of this article is to test these algorithms and to compare their robustness to describe contours of a car. We first present briefly these past research works and outline their application to vehicle shapes. In a second step we perform a comparison on robustness and time computation from the different shape descriptors methods and try to propose a specific method for our objective to detect cars from a moving camera. |
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