JOURNAL ARTICLE

Adaptive Template Block-Based Block Matching for Object Tracking

Abstract

This paper proposes an adaptive template block for object tracking in typical block matching algorithms. The bounding box of moving object would have different scales while the object moves from near to far or from far to near. Therefore, the typical block matching algorithms using the fixed template block would obtain inaccurate object tracking and object recognition. The proposed adaptive template block is used in block matching algorithm to obtain accurate and reliable tracking of object with different scales. Experimental results demonstrate that the typical block matching algorithm using proposed adaptive template block have better performance than one using the fixed template block in object tracking.

Keywords:
Block (permutation group theory) Video tracking Computer science Minimum bounding box Matching (statistics) Object (grammar) Tracking (education) Template matching Computer vision Artificial intelligence Object detection Pattern recognition (psychology) Algorithm Mathematics Image (mathematics)

Metrics

17
Cited By
2.36
FWCI (Field Weighted Citation Impact)
7
Refs
0.92
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Surveillance and Tracking Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing

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