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» Sensing Activity in Video Images
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CVPR
2001
IEEE
14 years 9 months ago
Evolving Image Segmentations for the Analysis of Video Sequences
A methodology for the segmentation of successive frames of a video sequence is presented. Traditional methods, treating each frame in isolation, are computationally expensive, ign...
A. A. Clark, Barry T. Thomas
WWW
2004
ACM
14 years 8 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...
DFT
2004
IEEE
114views VLSI» more  DFT 2004»
13 years 11 months ago
Characteristics of Fault-Tolerant Photodiode and Photogate Active Pixel Sensor (APS)
Reliability and manufacturing costs due to defects is a significant problem with image sensors and the ability to recover from a fault would alleviate some of these costs. A fault...
Michelle L. La Haye, Glenn H. Chapman, Cory Jung, ...
ICIP
2008
IEEE
14 years 9 months ago
Real-time face alignment with tracking in video
Real-time face alignment in video is very critical in many applications such as facial expression analysis, driver fatigue monitoring, etc. This paper presents a real time algorit...
Yanchao Su, Haizhou Ai, Shihong Lao
ICIP
2001
IEEE
14 years 9 months ago
Tube-embodied gradient vector flow fields for unsupervised video object plane (VOP) segmentation
In this paper constrained Gradient Vector Flow (GVF) field generation is performed, for fast and accurate unsupervised stereoscopic semantic segmentation. The scheme utilizes the ...
Anastasios D. Doulamis, Nikolaos D. Doulamis, Stef...