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» Detecting Irregularities in Images and in Video
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CVPR
2009
IEEE
1517views Computer Vision» more  CVPR 2009»
15 years 3 months ago
Linear Solution to Scale and Rotation Invariant Object Matching
Images of an object undergoing ego- or camera- motion often appear to be scaled, rotated, and deformed versions of each other. To detect and match such distorted patterns to a s...
Hao Jiang, Stella X. Yu
ICCV
2009
IEEE
1234views Computer Vision» more  ICCV 2009»
15 years 1 months ago
Human Pose Estimation Using Consistent Max-Covering
We propose a novel consistent max-covering scheme for human pose estimation. Consistent max-covering formulates pose estimation as the covering of body part polygons on an objec...
Hao Jiang
ICIP
2004
IEEE
14 years 10 months ago
Tracking football players with multiple cameras
A system is described for tracking the positions of football players during a match. The input is eight video streams from static cameras, each processed to generate measurements ...
Ming Xu, James Orwell, Graeme A. Jones
ICIP
2002
IEEE
14 years 10 months ago
A recursive shape error concealment algorithm
The encoding of shape information is a distinguishing feature of MPEG-4. In error prone communication networks, it is important and efficient to conceal shape errors spatially, so...
Guido M. Schuster, Xiaohuan Li, Aggelos K. Katsagg...
CAMP
2005
IEEE
14 years 2 months ago
Principles of a CMOS Sensor Dedicated to Face Tracking and Recognition
— This paper describes the main principles of a vision sensor dedicated to the detecting and tracking faces in video sequences. For this purpose, a current mode CMOS active senso...
Dominique Ginhac, Eri Prasetyo, Michel Paindavoine...