Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking | |
Zhou, Huiyu1; Fei, Minrui2; Sadka, Abdul3; Zhang, Yi4; Li, Xuelong5 | |
作者部门 | 光学影像学习与分析中心 |
2014-11-01 | |
发表期刊 | PATTERN RECOGNITION |
ISSN | 0031-3203 |
卷号 | 47期号:11页码:3552-3567 |
产权排序 | 5 |
摘要 | Object tracking is an active research area nowadays due to its importance in human computer interface, teleconferencing and video surveillance. However, reliable tracking of objects in the presence of occlusions, pose and illumination changes is still a challenging topic. In this paper, we introduce a novel tracking approach that fuses two cues namely colour and spatio-temporal motion energy within a particle filter based framework. We conduct a measure of coherent motion over two image frames, which reveals the spatio-temporal dynamics of the target. At the same time, the importance of both colour and motion energy cues is determined in the stage of reliability evaluation. This determination helps maintain the performance of the tracking system against abrupt appearance changes. Experimental results demonstrate that the proposed method outperforms the other state of the art techniques in the used test datasets. (C) 2014 Elsevier Ltd. All rights reserved. |
文章类型 | Article |
关键词 | Computer Vision Object Tracking Occlusion Colour Motion Energy |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1016/j.patcog.2014.05.006 |
收录类别 | SCI ; EI |
关键词[WOS] | VISUAL TRACKING ; MEAN SHIFT ; FEATURES ; RECOGNITION ; FRAMEWORK ; TARGETS ; OBJECTS ; INTEGRATION ; ALGORITHM ; SELECTION |
语种 | 英语 |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000340335600006 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.opt.ac.cn/handle/181661/22288 |
专题 | 光谱成像技术研究室 |
作者单位 | 1.Queens Univ Belfast, Sch Elect Elect Engn & Comp Sci, Belfast BT3 9DT, Antrim, North Ireland 2.Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200041, Peoples R China 3.Brunel Univ, Sch Engn & Design, Uxbridge UB8 3PH, Middx, England 4.Chongqing Univ Post & Telecommun, Inst Automat, Chongqing, Peoples R China 5.Chinese Acad Sci, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710119, Shaanxi, Peoples R China |
推荐引用方式 GB/T 7714 | Zhou, Huiyu,Fei, Minrui,Sadka, Abdul,et al. Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking[J]. PATTERN RECOGNITION,2014,47(11):3552-3567. |
APA | Zhou, Huiyu,Fei, Minrui,Sadka, Abdul,Zhang, Yi,&Li, Xuelong.(2014).Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking.PATTERN RECOGNITION,47(11),3552-3567. |
MLA | Zhou, Huiyu,et al."Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking".PATTERN RECOGNITION 47.11(2014):3552-3567. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Adaptive fusion of p(6672KB) | 期刊论文 | 出版稿 | 限制开放 | CC BY | 请求全文 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论