Detecting and tracking distant objects at night based on human visual system
文献类型：期刊论文
| 作者 | Huang, KQ ; Wang, LS; Tan, TN; Narayanan, PJ; Nayar, SK; Shum, HY
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| 刊名 | COMPUTER VISION - ACCV 2006, PT II
 |
| 出版日期 | 2006 |
| 卷号 | 3852页码:822-831 |
| 英文摘要 | Moving object detection is a challenging task for night security because of bad video quality. In this paper, we propose a robust real time objects detection method for night visual surveillance based on human visual system. By measuring contrast information variation in multiple successive frames, a spatio-temporal contrast change image (CCI) is formed. Then the multi-frame correspondence technology is employed to robustly extract salient motions or moving objects from CCI. Since CCI is a statistical measurement of variation based on human visual system, the proposed method is effective at night and better than traditional detection methods. Experiments on real scene show that the method based on contrast feature is effective for night object detection and tracking, our approach is also robust to camera scale variation as well as low computation cost. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Artificial Intelligence ; Computer Science, Theory & Methods |
| 研究领域[WOS] | Computer Science |
| 收录类别 | ISTP ; SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000235773200082 |
| 公开日期 | 2015-12-24 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/9325]  |
| 专题 | 自动化研究所_09年以前成果 |
| 作者单位 | Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Huang, KQ,Wang, LS,Tan, TN,et al. Detecting and tracking distant objects at night based on human visual system[J]. COMPUTER VISION - ACCV 2006, PT II,2006,3852:822-831. |
| APA | Huang, KQ,Wang, LS,Tan, TN,Narayanan, PJ,Nayar, SK,&Shum, HY.(2006).Detecting and tracking distant objects at night based on human visual system.COMPUTER VISION - ACCV 2006, PT II,3852,822-831. |
| MLA | Huang, KQ,et al."Detecting and tracking distant objects at night based on human visual system".COMPUTER VISION - ACCV 2006, PT II 3852(2006):822-831. |
入库方式： OAI收割
来源：自动化研究所
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