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CVPR
2011
IEEE
13 years 2 months ago
Learning to Recognize Objects in Egocentric Activities
This paper addresses the problem of learning object models from egocentric video of household activities, using extremely weak supervision. For each activity sequence, we know onl...
Alireza Fathi, Xiaofeng Ren, James Rehg
ICIP
2009
IEEE
14 years 6 months ago
Parking Space Detection From Video By Augmenting Training Dataset
Auto parking techniques are attracting more attention these days. In this paper, we develop an image-based method to estimate the depth contour in parking areas. Our algorithm is ...
IWCM
2004
Springer
13 years 11 months ago
Tracking Complex Objects Using Graphical Object Models
We present a probabilistic framework for component-based automatic detection and tracking of objects in video. We represent objects as spatio-temporal two-layer graphical models, w...
Leonid Sigal, Ying Zhu, Dorin Comaniciu, Michael J...
CVPR
2008
IEEE
14 years 7 months ago
Spatio-temporal Saliency detection using phase spectrum of quaternion fourier transform
Salient areas in natural scenes are generally regarded as the candidates of attention focus in human eyes, which is the key stage in object detection. In computer vision, many mod...
Chenlei Guo, Qi Ma, Liming Zhang
CVPR
2007
IEEE
14 years 7 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury