Title :
Dynamic video object detection with single PTU camera
Author :
Ye, Yun ; Ci, Song ; Liu, Yanwei ; Tang, Hui
Author_Institution :
Dept. of Comput. & Electron. Eng., Univ. of Nebraska-Lincoln, Lincoln, NE, USA
Abstract :
This paper presents a video object detection method under dynamic background with single PTU (pantilt unit) camera. The overall procedure contains two steps. First the moving object is tracked through interactive Mean Shift estimation and PTU control. Camera angular speed is updated online according to the estimated object position, whereby the object can remain in the center area of the image plane. In the second step, the foreground is detected through background subtraction and shape contour. An adaptive correlation thresholding method is applied to mitigate the detection distortion in boundary areas. Variational level set contour is then applied to further remove noises and locate moving areas. Our contribution is to incorporate in this procedure the special property of camera movement on a PTU to realize automatic tracking and efficient background matching for motion detection. As demonstrated in the experiment, the proposed method well outlines the foreground objects.
Keywords :
cameras; estimation theory; object detection; object tracking; video signal processing; PTU camera; dynamic video object detection; image plane; mean shift estimation; moving object tracking; pantilt unit camera; Adaptation models; Cameras; Correlation; Level set; Mathematical model; Object detection; Tracking;
Conference_Titel :
Visual Communications and Image Processing (VCIP), 2011 IEEE
Conference_Location :
Tainan
Print_ISBN :
978-1-4577-1321-7
Electronic_ISBN :
978-1-4577-1320-0
DOI :
10.1109/VCIP.2011.6115982