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» Fall Detection from Depth Map Video Sequences
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ICCV
2007
IEEE
14 years 8 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...
BMCBI
2010
148views more  BMCBI 2010»
13 years 6 months ago
Calling SNPs without a reference sequence
Background: The most common application for the next-generation sequencing technologies is resequencing, where short reads from the genome of an individual are aligned to a refere...
Aakrosh Ratan, Yu Zhang, Vanessa M. Hayes, Stephan...
CG
2010
Springer
13 years 6 months ago
Realistic cloth augmentation in single view video under occlusions
Augmenting cloth in real video is a challenging task because cloth performs complex motions and deformations and produces complex shading on the surface. Therefore, for a realisti...
Anna Hilsmann, David C. Schneider, Peter Eisert
IROS
2007
IEEE
171views Robotics» more  IROS 2007»
14 years 1 months ago
Learning full-body motions from monocular vision: dynamic imitation in a humanoid robot
— In an effort to ease the burden of programming motor commands for humanoid robots, a computer vision technique is developed for converting a monocular video sequence of human p...
Jeffrey B. Cole, David B. Grimes, Rajesh P. N. Rao
MM
2003
ACM
161views Multimedia» more  MM 2003»
13 years 12 months ago
Affective content detection using HMMs
This paper discusses a new technique for detecting affective events using Hidden Markov Models(HMM). To map low level features of video data to high level emotional events, we per...
Hang-Bong Kang