JOURNAL ARTICLE

An efficient object tracking technique using block-matching algorithm

Abstract

A real-time tracking method based on a motion estimation algorithm is presented. The difference technique and block-matching algorithm (BMA) are employed to achieve this purpose. The resultant motion vectors obtained by BMA are scanned to count the repetitions for each motion vector. Hence, the maximum repetition motion vector is taken to represent the motion of the moving object. The method was successfully tested for different objects using real images.

Keywords:
Motion vector Computer vision Motion estimation Block (permutation group theory) Artificial intelligence Tracking (education) Block-matching algorithm Computer science Quarter-pixel motion Matching (statistics) Match moving Motion (physics) Video tracking Object (grammar) Algorithm Motion field Mathematics Image (mathematics)

Metrics

16
Cited By
0.87
FWCI (Field Weighted Citation Impact)
5
Refs
0.75
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Analysis and Summarization
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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