Title :
Pruning phantom detections from multiview foreground intersection
Author :
Jie Ren ; Ming Xu ; Smith, Jeffrey S.
Author_Institution :
Dept. of Electr. & Electron. Eng., Xian Jiaotong-Liverpool Univ., Suzhou, China
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
Homography mapping and fusion of foreground regions from multiple camera views is an effective technique for moving object detection. However, the intersections of non-corresponding foreground regions frequently cause phantom detections. In this paper, an algorithm using colour template matching is proposed to identify such phantoms from the multiview foreground intersection. Experiments on real-world video sequences have been carried out.
Keywords :
cameras; geometry; image colour analysis; image matching; image sequences; object detection; colour template matching; foreground region fusion; homography mapping; moving object detection; multiple camera views; multiview foreground intersection; phantom detection pruning; real-world video sequences; Cameras; Color; Head; Image color analysis; Joints; Phantoms; Video sequences; image homography; motion detection; video surveillance;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6467037
