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» Feature Space Trajectory Methods for Active Computer Vision
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ACCV
2010
Springer
13 years 4 months ago
Real-Time Human Detection Using Relational Depth Similarity Features
Many conventional human detection methods use features based on gradients, such as histograms of oriented gradients (HOG), but human occlusions and complex backgrounds make accurat...
Sho Ikemura, Hironobu Fujiyoshi
CVPR
2007
IEEE
14 years 11 months ago
Closed-Loop Tracking and Change Detection in Multi-Activity Sequences
We present a novel framework for tracking of a long sequence of human activities, including the time instances of change from one activity to the next, using a closed-loop, non-li...
Bi Song, Namrata Vaswani, Amit K. Roy Chowdhury
ICCV
2007
IEEE
14 years 11 months ago
Fast Crowd Segmentation Using Shape Indexing
This paper presents a fast, accurate, and novel method for the problem of estimating the number of humans and their positions from background differenced images obtained from a si...
Lan Dong, Vasu Parameswaran, Visvanathan Ramesh, I...
ICCV
2005
IEEE
14 years 11 months ago
Designing Spatially Coherent Minimizing Flows for Variational Problems Based on Active Contours
This paper tackles an important aspect of the variational problems involving active contours, which has been largely overlooked so far: the optimization by gradient flows. Classic...
Guillaume Charpiat, Renaud Keriven, Jean-Philippe ...
CVPR
2001
IEEE
14 years 11 months ago
Gait Recognition Using Static, Activity-Specific Parameters
A gait-recognition technique that recovers static body and stride parameters of subjects as they walk is presented. This approach is an example of an activity-specific biometric: ...
Aaron F. Bobick, Amos Y. Johnson