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» Robust Computer Vision: An Interdisciplinary Challenge
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CVPR
2007
IEEE
15 years 11 months ago
OPTIMOL: automatic Online Picture collecTion via Incremental MOdel Learning
A well-built dataset is a necessary starting point for advanced computer vision research. It plays a crucial role in evaluation and provides a continuous challenge to stateof-the-...
Li-Jia Li, Gang Wang, Fei-Fei Li 0002
91
Voted
ICCV
2007
IEEE
15 years 11 months ago
Moving Object Extraction with a Hand-held Camera
This paper presents a new method to detect and accurately extract the moving object from a video sequence taken by a hand-held camera. In order to extract the high quality moving ...
Guofeng Zhang, Jiaya Jia, Wei Xiong, Tien-Tsin Won...
WACV
2002
IEEE
15 years 2 months ago
Arm Gesture Detection in a Classroom Environment
Detecting human arm motion in a typical classroom environment is a challenging task due to the noisy and highly dynamic background, varying light conditions, as well as the small ...
Jie Yao, Jeremy R. Cooperstock
65
Voted
CVPR
2006
IEEE
15 years 11 months ago
Robust Fragments-based Tracking using the Integral Histogram
We present a novel algorithm (which we call "FragTrack") for tracking an object in a video sequence. The template object is represented by multiple image fragments or pa...
Amit Adam, Ehud Rivlin, Ilan Shimshoni
CVPR
2005
IEEE
15 years 11 months ago
Illumination-Invariant Tracking via Graph Cuts
Illumination changes are a ubiquitous problem in computer vision. They present a challenge in many applications, including tracking: for example, an object may move in and out of ...
Daniel Freedman, Matthew W. Turek