吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 169-172.

Previous Articles     Next Articles

An camshift motion target tracking algorithm based on motion estimation

LIANG Chao1,2, SHI Dong-cheng2   

  1. 1. College of Communication Engineering, Jilin University, Changchun 130012, China;
    2. College of Computer Science and Engineering, Changchun University of Technology, Changchun 130012, China
  • Received:2012-12-16 Published:2013-06-01

Abstract:

When target move fast or there were interference,the target tracking algorithm based on CamShift was often tracking failure only using color information.In order to solve this problem,an improved CamShift target tracking algorithm which combined with mobile target estimation was precented.By weakening color histogram information of the target in the background and estimating target motion,this algorithm still can realize effective tracking in the occlusion or interference of the tracked target.The validity of the algorithm is proved by experiment.

Key words: target track, CamShift, motion estimation, target occlusion

CLC Number: 

  • TP391.41

[1] Cheng Y Z.MeanShift:Mode seeking and clustering [J].IEEE,Transactions on Pattern Analysis and Machine Intelligence,1995,17(8):790-799.

[2] Bradski G R.Computer vision face tracking for use in a perceptual user interface [J].Intel Technology Journal,1998,2 (2):1-15.

[3] Comaniciu D,Ramesh V,Meer P.Real-time tracking of non-rigid objects using mean shift[C]//IEEE Conference on Computer Vision and Pattern Recognition,2000:142-149.

[4] Dorin C,Visvanathan R,Peter M.Real-time tracking of non-rigid objects using mean shift [J].Institute of Electrical and Electronics Engineers Computer Society,2000,14:142-149.

[5] Li R,Zeng B,Liu M L.A new three-step search algorithm for block motion estimationp[J].IEEE Trans Circuits Syst Video Technol,1994,4:438-442.

[1] YANG Xin, XIA Si-jun, LIU Dong-xue, FEI Shu-min, HU Yin-ji. Target tracking based on improved accelerated gradient under tracking-learning-detection framework [J]. 吉林大学学报(工学版), 2018, 48(2): 533-538.
[2] YAO Rui, GUO Qing-xin, SUN Yan-mei, HE Kun, ZHANG Zhai. Multi-level adaptive fast integer pixel motion estimation algorithm for H. 264 [J]. 吉林大学学报(工学版), 2016, 46(1): 318-326.
[3] WANG Shu-min, ZHANG Ai-wu, WANG Fei, HU Shao-xing, SUN Wei-dong, YANG Ji-lian. Video enhancement and stabilization for high altitude airship platform [J]. 吉林大学学报(工学版), 2014, 44(01): 203-210.
[4] CHANG Fa-liang, LI Jiang-bao. Multi-camera relay-tracking strategies based on topological model and feature learning [J]. 吉林大学学报(工学版), 2013, 43(增刊1): 330-334.
[5] YANG Xiao-jun, SONG Qing-song, MA Xiang, LI Dong-hai. Fault-tolerance target tracking based on multi-model information filtering [J]. 吉林大学学报(工学版), 2013, 43(05): 1381-1385.
[6] LI Yu-chen, LI Zhan-ming. Adaptive unscented particle filter algorithm under unknown noise [J]. 吉林大学学报(工学版), 2013, 43(04): 1139-1145.
[7] LI Xiao-ni, CHEN He-xin, CHEN Mian-shu, GABBOUJ Moncef. Audio-video synchronous coding based on motion estimation in H.264 [J]. , 2012, 42(05): 1321-1326.
[8] WANG Hong, DAI Ming. Area speed up robust feature tracking for electric image stabilization [J]. 吉林大学学报(工学版), 2012, 42(02): 451-458.
[9] CAO Feng-ping, WANG Rong-ben. Stereovision based ego-motion estimation algorithm for lunar rover [J]. 吉林大学学报(工学版), 2011, 41(6): 1592-1597.
[10] JIANG Wei, YI Guo-xing, ZENG Qing-shuang. Target tracking algorithm based on support vector machine particle filter [J]. 吉林大学学报(工学版), 2011, 41(4): 1102-1106.
[11] ZHAO Hong-Wei, YUAN Shi-Pei, HUI Yue, WEI Li. Fast motion estimation algorithm of H.264 encoding [J]. 吉林大学学报(工学版), 2010, 40(增刊): 297-0300.
[12] YANG Hong-Sheng, YANG Guang, MAO Hong-Yu, TIAN Di. H.264/SVC fast motion estimation algorithm for sample video [J]. 吉林大学学报(工学版), 2010, 40(06): 1710-1714.
[13] DING Yuan-Yuan, SI Yu-Juan, YAO Cheng. Fast multiple reference frame selection algorithm for H.264/AVC [J]. 吉林大学学报(工学版), 2010, 40(02): 566-0570.
[14] ZHANG Yang, WANG Xuan-Yin. Video stabilization algorithm based on human visual characteristics [J]. 吉林大学学报(工学版), 2010, 40(02): 529-0533.
[15] LI Peng,SONG Shen-min,CHEN Xing-lin,DUAN Guang-ren. Iterative sigma point particle filter in target tracking on reentry [J]. 吉林大学学报(工学版), 2009, 39(06): 1585-1589.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!