Mean-Shift moving target tracking algorithm based on weighted sub-block

2015 ◽  
Author(s):  
Wang Xingmei ◽  
Dong Hongbin ◽  
Yang Xue ◽  
Li Lin
Keyword(s):  
Target Tracking ◽  
Mean Shift ◽  
Tracking Algorithm ◽  
Moving Target ◽  
Moving Target Tracking

Efficient Moving Target Tracking Algorithm: Design and Implementation of the Sand-Table Tracking Algorithm

2013 ◽  
Vol 475-476 ◽  
pp. 1032-1039
Author(s):  
Jia Qi Li
Keyword(s):  
Target Tracking ◽  
Algorithm Design ◽  
Tracking Algorithm ◽  
Moving Target ◽  
Tracking Accuracy ◽  
Moving Target Tracking ◽  
Design And Implementation ◽  
Tracking Ability

Working on the design of a new algorithm :sand_table algorithm.The algorithm could work well in recognizing and tracking an single moving target shot by camera or in a video .The algorithm works simple with low operation cost.May used in tracking different object of many kinds.The algorithm imitate the the process of falling sands to Greatly enhance the tracking ability and tracking accuracy.

Research on the Mean Shift Target Tracking and Recognition Technology Based on Multi-Feature Fusion

2013 ◽  
Vol 705 ◽  
pp. 561-564 ◽  
Author(s):  
Yong Jun Peng ◽  
Fen Tan ◽  
Jun Sun
Keyword(s):  
Target Tracking ◽  
Video Sequence ◽  
Feature Fusion ◽  
Mean Shift ◽  
Moving Target ◽  
Compressed Domain ◽  
Target Movement ◽  
Moving Target Tracking ◽  
Template Update ◽  
The Mean

This article topics based on multi-feature fusion the Mean shift target tracking technology belongs to the field of intelligent video analysis, moving target tracking is interested in moving target location each image in a video sequence to find and acquire the target movement. Moving target tracking problem can be stated as interested in moving target movement prediction in the video sequence, feature extraction, feature matching and template update problem. In this paper, we consider using compressed domain features as a complement of the color features to extract the compressed domain features first need to understand the compressed domain detection technology. Detection based on the compressed domain, that is, in the case of not decoding or a small amount of decoding, directly on the compression characteristics of the image analysis, in order to achieve the detection of the image moving object.

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