کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
529586 | 869679 | 2006 | 12 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Object tracking in an outdoor environment using fusion of features and cameras
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Object tracking in an outdoor environment using fusion of features and cameras Object tracking in an outdoor environment using fusion of features and cameras](/preview/png/529586.png)
چکیده انگلیسی
This paper presents methods for tracking moving objects in an outdoor environment. A robust tracking is achieved using feature fusion and multiple cameras. The proposed method integrates spatial position, shape and color information to track object blobs. The trajectories obtained from individual cameras are incorporated by an extended Kalman filter (EKF) to resolve object occlusion. Our results show that integrating simple features makes the tracking effective and that EKF improves the tracking accuracy when long-term or temporary occlusion occurs. The tracked objects are successfully classified into three categories: single person, people group, or vehicle.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Image and Vision Computing - Volume 24, Issue 11, 1 November 2006, Pages 1244–1255
Journal: Image and Vision Computing - Volume 24, Issue 11, 1 November 2006, Pages 1244–1255
نویسندگان
Quming Zhou, J.K. Aggarwal,