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» Detecting spurious features using parity space
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ECCV
2006
Springer
14 years 10 months ago
Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
Nan Hu, Weimin Huang, Surendra Ranganath
IJON
2010
139views more  IJON 2010»
13 years 7 months ago
Event monitoring via local motion abnormality detection in non-linear subspace
We present a computational approach to abnormal visual event detection, which is based on exploring and modeling local motion patterns in a non-linear subspace. We use motion vect...
Ioannis Tziakos, Andrea Cavallaro, Li-Qun Xu
ECCV
2006
Springer
14 years 10 months ago
Region Covariance: A Fast Descriptor for Detection and Classification
We describe a new region descriptor and apply it to two problems, object detection and texture classification. The covariance of d-features, e.g., the three-dimensional color vecto...
Oncel Tuzel, Fatih Porikli, Peter Meer
ICIP
2008
IEEE
14 years 3 months ago
Reliable interest point detection under large illumination variations
This appendix proves the illumination robustness of the proposed corner detector over the Harris corner detector. I. HARRIS CORNER DETECTOR The Harris corner detector [1] is based...
Murat Gevrekci, Bahadir K. Gunturk
ISSTA
2012
ACM
11 years 11 months ago
Swarm testing
Swarm testing is a novel and inexpensive way to improve the diversity of test cases generated during random testing. Increased diversity leads to improved coverage and fault detec...
Alex Groce, Chaoqiang Zhang, Eric Eide, Yang Chen,...