학술논문

A method of object tracking based on Particle Filter and Optical Flow
Document Type
Conference
Source
제어로봇시스템학회 국제학술대회 논문집. 2009-08 2009(8):2685-2690
Subject
Particle filter
Optical flow
Objects tracking
Language
Korean
ISSN
2005-4750
Abstract
In this paper, we propose the technique for tracking the velocity of objects that combines the particle filter with optical flow. If color of the target or feature of its shape is unknown, some conventional particle filters are hard to apply because the prediction step of them are based on probabilistic theory. This problem can be solved by estimation method of optical flow. Experimental results show that unstructured objects can be tracked.

Online Access