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» Performing content-based retrieval of humans using gait biom...
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ICMCS
2000
IEEE
116views Multimedia» more  ICMCS 2000»
13 years 10 months ago
Non-linear Relevance Feedback: Improving the Performance of Content-Based Retrieval Systems
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
AVBPA
2001
Springer
145views Biometrics» more  AVBPA 2001»
13 years 10 months ago
Automatic Gait Recognition by Symmetry Analysis
We describe a new method for automatic gait recognition based on analysing the symmetry of human motion, by using the Generalised Symmetry Operator. This operator, rather than rely...
James B. Hayfron-Acquah, Mark S. Nixon, John N. Ca...
ICPR
2002
IEEE
13 years 11 months ago
Human Identification by Spatio-Temporal Symmetry
We describe spatio-temporal symmetry and its extraction via a Generalised Symmetry Operator. Its use in gait recognition is reinforced by the view from psychology that human gait ...
James B. Hayfron-Acquah, Mark S. Nixon, John N. Ca...
ICCV
2003
IEEE
14 years 8 months ago
Fusion of Static and Dynamic Body Biometrics for Gait Recognition
Human identification at a distance has recently gained growing interest from computer vision researchers. This paper aims to propose a visual recognition algorithm based upon fusi...
Liang Wang, Huazhong Ning, Tieniu Tan, Weiming Hu
FGR
2002
IEEE
161views Biometrics» more  FGR 2002»
13 years 11 months ago
Baseline Results for the Challenge Problem of Human ID Using Gait Analysis
Identification of people from gait captured on video has become a challenge problem in computer vision. However, there is not a baseline algorithm or standard dataset for measuri...
P. Jonathon Phillips, Patrick Grother, Sudeep Sark...