کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
536127 870464 2009 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Contour-motion feature (CMF): A space–time approach for robust pedestrian detection
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Contour-motion feature (CMF): A space–time approach for robust pedestrian detection
چکیده انگلیسی

This paper presents a contour-motion feature for robust pedestrian detection. The space–time contours are used as the low level representation of the pedestrian. Then we apply 3D distance transform to extend the 1-dimensional contour into 3-dimensional space. By this way, the relations between the local contours can be maintained implicitly. Further, by encapsulating the static and dynamic information by 3D Haar-like filters, we can generate the middle level pedestrian representation: contour-motion features. Then we use boosting method to select the most representative features. Our experiments demonstrate that the proposed approach can outperform Viola’s well-known pedestrian detector in both detection accuracy and generalization ability. In addition, even though our approach is presented in pedestrian detection scenario, it has been extended to human activity recognition application and remarkable performance has been achieved.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Pattern Recognition Letters - Volume 30, Issue 2, 15 January 2009, Pages 148–156
نویسندگان
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