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Research on a Face Real-time Tracking Algorithm Based on Particle Filter Multi-Feature Fusion 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 5
作者:  Wang, Tao;  Wang, Wen;  Liu, Hui;  Li, Tianping
收藏  |  浏览/下载：11/0  |  提交时间：2019/12/11
Multiple features fusion based video face tracking 期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2019, 卷号: 78, 期号: 15, 页码: 21963-21980
作者:  Li, Tianping;  Zhou, Pingping;  Liu, Hui
收藏  |  浏览/下载：7/0  |  提交时间：2019/12/11
Human concerned object detecting in video 期刊论文
JOURNAL OF ADVANCED MECHANICAL DESIGN SYSTEMS AND MANUFACTURING, 2015, 卷号: 9, 期号: 5
作者:  Li, Jinjiang;  Guo, Jie;  Fan, Hui
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/17
Video-based Face Recognition By Auto-associative Elman Neural Network 会议论文
作者:  Zhang, Bailing;  Zhou, Juntao
收藏  |  浏览/下载：2/0  |  提交时间：2019/12/03
Face Tracking and Recognition via Incremental Local Sparse Representation 会议论文
Qingdao, China, 26-28 July 2013
作者:  Chao Wang;  Yunhong Wang;  Zhaoxiang Zhang;  Yiding Wang
收藏  |  浏览/下载：7/0  |  提交时间：2017/02/09
Tracking and recognition face in videos with incremental local sparse representation model 期刊论文
OPTICAL ENGINEERING, 2013, 卷号: 52
作者:  Wang, Chao;  Wang, Yunhong;  Zhang, Zhaoxiang
收藏  |  浏览/下载：3/0  |  提交时间：2020/01/06
Multi-person tracking based on video information fusion 会议论文
Shenzhen, China, January 27, 2011 - January 28, 2011
作者:  Cao, Jie;  Zheng, Jing Run
收藏  |  浏览/下载：0/0  |  提交时间：2020/11/15
Multi-person Tracking Based on Video Information Fusion 会议论文
作者:  Cao, Jie;  Zheng, Jingrun
收藏  |  浏览/下载：0/0  |  提交时间：2019/11/15
Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE) 会议论文
2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China
Zhang Y.
收藏  |  浏览/下载：13/0  |  提交时间：2013/03/25
The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance  the system not only works for single target  if the monitor is appointed for human face tracking  but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance  the best system appears to be concentrating on human face only and all the others considered being background  the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE.  the background regions needn't to be recorded in detail. For this purpose  this letter presents a real-time foveate storage system  which efficiently represents the video image in log-polar coordinates  with the foveate point centered on the target  
Condensation method for face tracking based on features fusion 会议论文
作者:  Zhang, Yong;  Li, Lan
收藏  |  浏览/下载：6/0  |  提交时间：2020/11/15

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