Robust Superpixel Tracking via Depth Fusion

CORC > 西安光学精密机械研究所 > 中国科学院西安光学精密机械研究所 > 光学影像学习与分析中心

	Robust Superpixel Tracking via Depth Fusion
	Yuan, Yuan; Fang, Jianwu; Wang, Qi
刊名	ieee transactions on circuits and systems for video technology
	2014
卷号	24 期号:1 页码:15-26
关键词	Computer vision depth fusion graph regularized sparse coding object tracking segmentation superpixel
ISSN号	1051-8215
英文摘要	although numerous trackers have been designed to adapt to the nonstationary image streams that change over time, it remains a challenging task to facilitate a tracker to accurately distinguish the target from the background in every frame. this paper proposes a robust superpixel-based tracker via depth fusion, which exploits the adequate structural information and great flexibility of mid-level features captured by superpixels, as well as the depth-map's discriminative ability for the target and background separation. by introducing graph-regularized sparse coding into the appearance model, the local geometrical structure of data is considered, and the resulting appearance model has a more powerful discriminative ability. meanwhile, the similarity of the target superpixels' neighborhoods in two adjacent frames is also incorporated into the refinement of the target estimation, which helps a more accurate localization. most importantly, the depth cue is fused into the superpixel-based target estimation so as to tackle the cluttered background with similar appearance to the target. to evaluate the effectiveness of the proposed tracker, four video sequences of different challenging situations are contributed by the authors. the comparison results demonstrate that the proposed tracker has more robust and accurate performance than seven ones representing the state-of-the-art.
WOS标题词	science & technology ; technology
类目[WOS]	engineering, electrical & electronic
研究领域[WOS]	engineering
关键词[WOS]	visual tracking ; object tracking ; segmentation ; contour ; kernel ; model
收录类别	SCI ; EI
语种	英语
WOS记录号	WOS:000329874700002
公开日期	2015-03-18
内容类型	期刊论文
源URL	[http://ir.opt.ac.cn/handle/181661/22353]
专题	西安光学精密机械研究所_光学影像学习与分析中心
作者单位	Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr OPT IMagery Anal & Learning, Xian 710119, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Yuan, Yuan,Fang, Jianwu,Wang, Qi. Robust Superpixel Tracking via Depth Fusion[J]. ieee transactions on circuits and systems for video technology,2014,24(1):15-26.
APA	Yuan, Yuan,Fang, Jianwu,&Wang, Qi.(2014).Robust Superpixel Tracking via Depth Fusion.ieee transactions on circuits and systems for video technology,24(1),15-26.
MLA	Yuan, Yuan,et al."Robust Superpixel Tracking via Depth Fusion".ieee transactions on circuits and systems for video technology 24.1(2014):15-26.