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ISCIS
2003
Springer
14 years 3 months ago
Model-Based Human Motion Capture from Monocular Video Sequences
Generating motion and capturing motion of an articulated body for computer animation is an expensive and time-consuming task. Conventionally, animators manually generate intermedia...
Jihun Park, Sangho Park, Jake K. Aggarwal
ICIP
2005
IEEE
14 years 11 months ago
Static human body postures recognition in video sequences using the belief theory
This paper presents a system that can automatically recognize four different static human body postures in video sequences. The considered postures are standing, sitting, squattin...
Alice Caplier, Laurent Bonnaud, Michèle Rom...
DAGM
2007
Springer
14 years 1 months ago
How to Find Interesting Locations in Video: A Spatiotemporal Interest Point Detector Learned from Human Eye Movements
Interest point detection in still images is a well-studied topic in computer vision. In the spatiotemporal domain, however, it is still unclear which features indicate useful inter...
Wolf Kienzle, Bernhard Schölkopf, Felix A. Wi...
JIPS
2010
176views more  JIPS 2010»
13 years 4 months ago
Recognition of Human Facial Expression in a Video Image using the Active Appearance Model
Tracking human facial expression within a video image has many useful applications, such as surveillance and teleconferencing, etc. Initially, the Active Appearance Model (AAM) was...
Gyeong-Sic Jo, Yong-Guk Kim
ECCV
2010
Springer
14 years 3 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov