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» Detection of Multiple Deformable Objects using PCA-SIFT
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129
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CVPR
2007
IEEE
16 years 5 months ago
Unsupervised Segmentation of Objects using Efficient Learning
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
Himanshu Arora, Nicolas Loeff, David A. Forsyth, N...
138
Voted
PRIS
2001
15 years 5 months ago
Improving the Robustness of Parametric Shape Tracking with Switched Multiple Models
This paper addresses the problem of tracking objects with complex motion dynamics or shape changes. It is assumed that some of the visual features detected in the image (e.g., edg...
Jacinto C. Nascimento, Jorge S. Marques
CVPR
2006
IEEE
15 years 9 months ago
Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection
Tracking of humans in videos is important for many applications. A major source of difficulty in performing this task is due to inter-human or scene occlusion. We present an appr...
Bo Wu, Ram Nevatia
192
Voted
ICMCS
2005
IEEE
340views Multimedia» more  ICMCS 2005»
15 years 9 months ago
Adaptive local context suppression of multiple cues for salient visual attention detection
Visual attention is obtained through determination of contrasts of low level features or attention cues like intensity, color etc. We propose a new texture attention cue that is s...
Yiqun Hu, Deepu Rajan, Liang-Tien Chia
141
Voted
CVIU
2006
129views more  CVIU 2006»
15 years 3 months ago
Integrating multiple levels of zoom to enable activity analysis
In this paper, we present a multi-zoom framework for activity analysis in situations requiring combinations of both detailed and coarse views of the scene. The epipolar geometry i...
Paul Smith, Mubarak Shah, Niels da Vitoria Lobo