| A Kinect-Based People-flow Counting System | |
|---|---|
| 學年 | 101 |
| 學期 | 1 |
| 發表日期 | 2012-11-04 |
| 作品名稱 | A Kinect-Based People-flow Counting System |
| 作品名稱（其他語言） | |
| 著者 | Hsieh, Ching-Tang; Wang, Hui-Chun; Wu, Yeh-Kuang; Chang, Liung-Chun; Kuo, Tai-Ku |
| 作品所屬單位 | 淡江大學電機工程學系 |
| 出版者 | |
| 會議名稱 | IEEE International Symposium on Intelligent Signal Processing and Communication System |
| 會議地點 | New Taipei City, Taiwan |
| 摘要 | This paper proposed a bi-directional people-flow counting system with Kinect. It can also be applied to multi-flow to correspond with the demand for the practical application. Firstly, we set the Kinect above the doorway to capture the situation of pedestrian flow. Then this system detects people in the covering area using the depth image information from Kinect system. And we do the morphological processing like erosion tothe object and find the region of interest (ROI) often performed on using a mapping-based detection approach. After these previous steps, this system set a detected line and let people go through it. Therefore, we can get people number of the experimental result. For the multi-flow case, it will cause the occlusion problem, so we could apply the depth information to distinguish the target on occlusion problem. Final, we compare the experimental results with the manual count results and other research. Under normal circumstances, our system provides not only almost 100% for bi-directional counting but also correspond with the demand for real-time. |
| 關鍵字 | Kinect,8-Connected Components , People-flow counting, ROI. |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 淡水校園 |
| 研討會時間 | 20121104~20121107 |
| 通訊作者 | Hsieh, Ching-Tang |
| 國別 | TWN |
| 公開徵稿 | Y |
| 出版型式 | 電子版 |
| 出處 | IEEE International Symposium on Intelligent Signal Processing and Communication System, pp.146-150 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/81419 ) |
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