3D Object Tracking in RGB-D Images Using Particle Swarm Optimization

José Guedes dos Santos Jr.; João Paulo Silva do Monte Lima

doi:10.1109/SVR.2017.22

2017 19th Symposium on Virtual and Augmented Reality (SVR)

3D Object Tracking in RGB-D Images Using Particle Swarm Optimization

Year: 2017, Pages: 107-115

DOI Bookmark: 10.1109/SVR.2017.22

Authors

José Guedes dos Santos Jr., Departamento de Estatística e Informática (DEINFO), Universidade Federal Rural de Pernambuco (UFRPE), Recife, Brasil
João Paulo Silva do Monte Lima, Departamento de Estatística e Informática (DEINFO), Universidade Federal Rural de Pernambuco (UFRPE), Recife, Brasil

Abstract

Model based tracking techniques allow computing the pose of 3d objects without needing to use markers. In order to perform a precise tracking, these techniques have been using RGB-D sensors together with particle filters for evaluating several pose hypotheses of the object in a given frame from features such as points 3D coordinates, color and normal vector. This work presents a proposal to use of the particle swarm optimization method for allowing 3d object model based tracking. Experiments showed that the proposed method obtained precise results when compared to ground truth values and to state of the art techniques that perform object tracking from RGB-D images.

Like what you’re reading?

Already a member?

Get this article FREE with a new membership!

3D Tracking of Multiple Objects with Identical Appearance Using RGB-D Input
2014 2nd International Conference on 3D Vision (3DV)
Deep Sliding Shapes for Amodal 3D Object Detection in RGB-D Images
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
RGB-D Object Recognition Using Deep Convolutional Neural Networks
2017 IEEE International Conference on Computer Vision Workshop (ICCVW)
Tracking Deformable Surfaces That Undergo Topological Changes Using an RGB-D Camera
2016 Fourth International Conference on 3D Vision (3DV)
2D-Driven 3D Object Detection in RGB-D Images
2017 IEEE International Conference on Computer Vision (ICCV)
Frustum PointNets for 3D Object Detection from RGB-D Data
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation
2019 International Conference on 3D Vision (3DV)
RGB-D Object Tracking with Occlusion Detection
2019 15th International Conference on Computational Intelligence and Security (CIS)
Frustum VoxNet for 3D object detection from RGB-D or Depth images
2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
Hand tracking from monocular RGB with dense semantic labels
2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020) (FG)

3D Object Tracking in RGB-D Images Using Particle Swarm Optimization

Authors

Abstract

Related Articles