3D Pose Tracking Using Particle Filter with Back Projection-Based Sampling

Title
3D Pose Tracking Using Particle Filter with Back Projection-Based Sampling
Authors
이지용정문호이중재김강건유범재
Keywords
3D pose tracking; back-projection; particle filter; search space reduction
Issue Date
2012-12
Publisher
International Journal of Control, Automation and Systems
Citation
VOL 10, NO 6, 1232-1239
Abstract
This paper explores pose tracking with a 3D object model using a particle filter. In tracking an object with a particle filter, a problem of high dimensional solution space often appears. In a huge space, a search process is tedious and falls foul of the exponential computational complexity. We propose the back projection-based sampling with a depth map from a stereo camera, which reduces the solution space significantly. In addition, we treat a method that constructs the 3D model used in this paper. Results are shown for tracking the pose of several objects.
URI
http://pubs.kist.re.kr/handle/201004/44390
ISSN
15986446
Appears in Collections:
KIST Publication > Article
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