کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
380486 | 1437442 | 2015 | 13 صفحه PDF | دانلود رایگان |
In this paper, a novel system is developed to detect and track multiple heads in multi-pose status by efficient human head validation using ellipse detection. A particle filter is employed for each tracked head. The appearance model of head is updated based on fusion of color histogram and oriented gradient one. Regardless of its pose, a head is modeled as an ellipse, and we propose an objective function to fit the proposed elliptical equation. A robust supervised distance function learning framework has been developed to recover some missed detections and suppress some false detections, using an Expectation Maximization algorithm. Comparative study with state-of-the-arts has indicated the superiority and good performance of the proposed method.
Journal: Engineering Applications of Artificial Intelligence - Volume 37, January 2015, Pages 181–193