Object Tracking With Regressing Particles
AssigneeMitsubishi Electric Research Laboratories, Inc.
InventorsFatih M. Porikli, Pan Pan
Life of this patent
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Abstract
Embodiments of the invention provide a method and a system for tracking an object from a training image to a target image. The training image and the target image are elements of a sequence of images. The object in the training image is represented by an object state. First, a set of particles is acquired, wherein each particle in the set of particles is associated with a weight, such that the particle represents the object state with a probability equal to the weight. Next, a regression function is applied to each particle in the set of particles based on a target image to determine a set of moved particles and the object state is updated according to the set of moved particles, such that the object state represents the object in the target image.
Claims12
A method for tracking an object from a training image to a target image, wherein the training image and the target image are elements of a sequence of images, wherein the object in the training image is represented by an object state, comprising a processor for performing steps of the method, comprising the steps of:
- acquiring a set of particles, wherein each particle is associated with a weight, such that the particle represents the object state with a probability equal to the weight;
- applying, using the processor, a regression function to each particle in the set of particles based on a target image to determine a set of moved particles;
- and
- updating the object state according to the set of moved particles, such that the object state represents the object in the target image.
A system for tracking an object from a training image to a target image, wherein the training image and the target image are elements of a sequence of images, wherein the object in the training image is represented by an object state, comprising a processor, the system comprising:
- means for acquiring a set of particles, wherein each particle is associated with a weight, such that the particle represents the object state with a probability equal to the weight;
- means for applying, using the processor, a regression function to each particle based on a target image to determine a set of moved particles;
- and
- means for updating the object state according to the set of moved particles, such that the object state represents the object in the target image
Dependencies are inferred from the claim text.