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» Image Enhancement Using Particle Swarm Optimization
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CVPR
2006
IEEE
14 years 3 months ago
Particle Video: Long-Range Motion Estimation using Point Trajectories
This paper describes a new approach to motion estimation in video. We represent video motion using a set of particles. Each particle is an image point sample with a longduration t...
Peter Sand, Seth J. Teller
CVPR
2009
IEEE
2305views Computer Vision» more  CVPR 2009»
15 years 4 months ago
Visual tracking on the affine group via geometric particle filtering using optimal importance function
We propose a geometric method for visual tracking, in which the 2-D affine motion of a given object template is estimated in a video sequence by means of coordinateinvariant partic...
Junghyun Kwon (Seoul National University), Kyoung ...
MM
2006
ACM
143views Multimedia» more  MM 2006»
14 years 3 months ago
Motion swarms: video interaction for art in complex environments
We create interactive art that can be enjoyed by groups such as audiences at public events with the intent to encourage communication with those around us as we play with the art....
Quoc Nguyen, Scott Novakowski, Jeffrey E. Boyd, Ch...
GECCO
2009
Springer
131views Optimization» more  GECCO 2009»
14 years 1 months ago
Rapid prototyping using evolutionary approaches: part 1
In this paper we describe a multi-objective problem solving approach, simultaneously minimizing average surface roughness Ra and build Time T, for object manufacturing by Rapid Pr...
Nikhil Padhye, Subodh Kalia
CEC
2007
IEEE
14 years 3 months ago
Parallel learning in heterogeneous multi-robot swarms
Abstract— Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques w...
Jim Pugh, Alcherio Martinoli