Particle Swarm Optimization (PSO) is an evolutionary computation technique frequently used for optimization tasks. This work aims at applying PSO for ...
This work presents the implementation of PSO method for detecting objects in images in the context of computer vision. Given a pattern or reference image of an ...
The goal of the proposed optimization technique is to select the most helpful descriptors that will maximize the recognition rate. The proposed method will ...
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In this paper we describe results of a modified Particle Swarm Optimization (PSO) algorithm which has been applied to two image analysis tasks.
This paper investigates the use of Particle Swarm Optimization (PSO) as the object localization method based on the Bayesian tracking framework. The widely ...
Abstract. In this paper we describe results of a modified Particle Swarm Opti- mization (PSO) algorithm which has been applied to two image analysis tasks.
This work proposes the use of particle swarm optimization to handle multiple pose hypotheses during top-down tracking from RGB-D images. A fitness function ...
This paper proposes a particle swarm optimization based algorithm for object tracking in image sequences. In each frame the particles are drawn from a Gaussian ...
An implementation of particle swarm optimization and its application to the computer vision task of object detection via template matching.
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This research tackles such challenges by proposing. Particle Swarm Optimization (PSO) variants embedded with novel mutation and sampling iteration operations ...