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» Detecting Irregularities in Images and in Video
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CVPR
2009
IEEE
1517views Computer Vision» more  CVPR 2009»
17 years 1 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
163
Voted
ICCV
2009
IEEE
1234views Computer Vision» more  ICCV 2009»
16 years 11 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
16 years 7 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
16 years 7 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
15 years 11 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...