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» Background estimation from non-time sequence images
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ICIP
2008
IEEE
16 years 1 months ago
Super-Resolution on small moving objects
Moving objects are often the most interesting parts in image sequences. When images from a camera are undersampled and the moving object is depicted small on the image plane, proc...
Adam W. M. van Eekeren, Klamer Schutte, Lucas J. v...
CVPR
2012
IEEE
13 years 2 months ago
Video from nearly still: An application to low frame-rate gait recognition
In this paper, we propose a temporal super resolution approach for quasi-periodic image sequence such as human gait. The proposed method effectively combines examplebased and reco...
Naoki Akae, Al Mansur, Yasushi Makihara, Yasushi Y...
ICIP
2007
IEEE
15 years 6 months ago
Mean-Shift Blob Tracking with Adaptive Feature Selection and Scale Adaptation
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we prop...
Dawei Liang, Qingming Huang, Shuqiang Jiang, Hongx...
ICIAR
2010
Springer
15 years 3 months ago
On-Board Monocular Vision System Pose Estimation through a Dense Optical Flow
Abstract. This paper presents a robust technique for estimating onboard monocular vision system pose. The proposed approach is based on a dense optical flow that is robust against...
Naveen Onkarappa, Angel Domingo Sappa
ICIP
2005
IEEE
16 years 1 months ago
Misregistration errors in change detection algorithms and how to avoid them
Background subtraction is a popular algorithm for video object segmentation. It identifies foreground objects by comparing the input images with a pure background image. In camera...
Dirk Farin, Peter H. N. de With