کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
848744 | 909249 | 2015 | 5 صفحه PDF | دانلود رایگان |
In this paper, we present a novel framework of visual tracking based on the edge-color and edge-edge contexts. By employing the non-uniform quantization of the color space to highlight the object, and canny operator and motion detection to gain the object edges, we derive an edge-color co-occurrence centroid (ECCC) based object appearance representation. We subsequently select the stable centroids to estimate the one step shifting vector for localizing the object, and adopt the edge-edge distance histograms (DHs) matching to acquire the zooming factor for updating the object scale in the next frame. Experiments on both standard and real world video sequences demonstrate that the proposed method is robust enough for tracking the object in scenarios of partial occlusion and background disturbance.
Journal: Optik - International Journal for Light and Electron Optics - Volume 126, Issue 1, January 2015, Pages 148–152