A New Target Tracking Scheme Based on Improved Mean Shift and Adaptive Kalman Filter

2012 ◽  
Vol 4 (2) ◽  
pp. 291-301 ◽  
Author(s):  
Shangbo Zhou ◽  
Peng Hu ◽  
Kun Li ◽  
Yujiong Liu
Keyword(s):  
Kalman Filter ◽  
Target Tracking ◽  
Mean Shift ◽  
Adaptive Kalman Filter

Target tracking based on improved Mean-Shift and adaptive Kalman filter

2010 ◽  
Vol 30 (6) ◽  
pp. 1573-1576 ◽  
Author(s):  
Shang-bo ZHOU ◽  
Peng HU ◽  
Yu-jiong LIU
Keyword(s):  
Kalman Filter ◽  
Target Tracking ◽  
Mean Shift ◽  
Adaptive Kalman Filter

Target Scale Adaptation Based on Corner Registration

2014 ◽  
Vol 556-562 ◽  
pp. 4260-4263
Author(s):  
Bing Yun Dai ◽  
Hui Zhao ◽  
Zheng Xi Kang
Keyword(s):  
Kalman Filter ◽  
Target Tracking ◽  
Mean Shift ◽  
Tracking Algorithm ◽  
Experimental Results ◽  
Distance Ratio ◽  
Scale Adaptation ◽  
Mean Shift Algorithm

Target tracking algorithm mean-shift and kalman filter does well in tracking target. However, mean-shift algorithm may not do well in tracking the target which the size of target is changing gradually. Although some scholars put forward by 10% of the positive and negative incremental to scale adaptive,the algorithm can not be applied to track the target which gradually becomes bigger. In this paper, we propose registration corners of the target of the two adjacent frames, then calculate the distance ratio of registration corners.Use the distance ratio to determine the target becomes larger or smaller. The experimental results demonstrate that the proposed method performs better compared with the recent algorithms.

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