Tracking by switching state space models
- Authors
- Kwon, Junseok; Dragon, Ralf; Van Gool, Luc
- Issue Date
- Dec-2016
- Publisher
- ACADEMIC PRESS INC ELSEVIER SCIENCE
- Keywords
- Visual tracking; Probabilistic model; State space switch; Ground plane
- Citation
- COMPUTER VISION AND IMAGE UNDERSTANDING, v.153, pp 29 - 36
- Pages
- 8
- Journal Title
- COMPUTER VISION AND IMAGE UNDERSTANDING
- Volume
- 153
- Start Page
- 29
- End Page
- 36
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/6380
- DOI
- 10.1016/j.cviu.2016.03.006
- ISSN
- 1077-3142
1090-235X
- Abstract
- We propose a novel tracking method that allows to switch between different state representations as, e.g., image coordinates in different views or image and ground plane coordinates. During the tracking process, our method adaptively switches between these representations. We demonstrate the applicability of our method for dynamic cameras tracking dynamic objects: Using the image based representation (non-smooth trajectories if the camera is shaking) together with the ground plane based one (estimation uncertainty in visual odometry or ground plane orientation), the disadvantages of both representation forms can be overcome: Non-occluded observations on the image plane provide strong appearance cues for the target. Smooth paths on the ground plane provide strong motion cues with the camera motion factored out. Following a Bayesian tracking approach, we propose a probabilistic framework that determines the most appropriate state space model (SSM) image or ground plane or both at each time instance. Experimental results demonstrate that our method outperforms the state-of-the-art. (C) 2016 Elsevier Inc. All rights reserved.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Software > School of Computer Science and Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/6380)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.