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» To learn representativeness of video frames
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MM
2003
ACM
239views Multimedia» more  MM 2003»
15 years 5 months ago
Foreground object detection from videos containing complex background
This paper proposes a novel method for detection and segmentation of foreground objects from a video which contains both stationary and moving background objects and undergoes bot...
Liyuan Li, Weimin Huang, Irene Y. H. Gu, Qi Tian
ICIP
2007
IEEE
16 years 1 months ago
Iterative Blind Image Motion Deblurring via Learning a No-Reference Image Quality Measure
In this paper, we propose a learning-based image restoration algorithm for restoring images degraded by uniform motion blurs. The motion blur parameters are first approximately es...
Wen-Hao Lee, Shang-Hong Lai, Chia-Lun Chen
PAMI
2002
150views more  PAMI 2002»
14 years 11 months ago
Object Tracking with Bayesian Estimation of Dynamic Layer Representations
Decomposing video frames into coherent two-dimensional motion layers is a powerful method for representing videos. Such a representation provides an intermediate description that e...
Hai Tao, Harpreet S. Sawhney, Rakesh Kumar
ICVGIP
2004
15 years 1 months ago
Modeling Signs Using Functional Data Analysis
1 We present a functional data analysis (FDA) based method to statistically model continuous signs of the American Sign Language (ASL) for use in the recognition of signs in contin...
Sunita Nayak, Sudeep Sarkar, Kuntal Sengupta
71
Voted
CVPR
2007
IEEE
16 years 1 months ago
On-the-fly Object Modeling while Tracking
To implement a persistent tracker, we build a set of viewdependent object appearance models adaptively and automatically while tracking an object under different viewing angles. T...
Zhaozheng Yin, Robert T. Collins